From e4bac9db0598e22877852d5053cb49e32ebf1503 Mon Sep 17 00:00:00 2001 From: erindiel Date: Wed, 19 Jun 2024 16:19:50 -0400 Subject: [PATCH] add analysis notebook using MCMICRO --- .../MCMICRO-example-IDC/OME-TIFF/markers.csv | 37 + .../MCMICRO-example-IDC/OME-TIFF/params.yml | 5 + notebooks/analysis/MCMICRO_with_IDC.ipynb | 3664 +++++++++++++++++ 3 files changed, 3706 insertions(+) create mode 100644 notebooks/analysis/MCMICRO-example-IDC/OME-TIFF/markers.csv create mode 100644 notebooks/analysis/MCMICRO-example-IDC/OME-TIFF/params.yml create mode 100644 notebooks/analysis/MCMICRO_with_IDC.ipynb diff --git a/notebooks/analysis/MCMICRO-example-IDC/OME-TIFF/markers.csv b/notebooks/analysis/MCMICRO-example-IDC/OME-TIFF/markers.csv new file mode 100644 index 0000000..1c04301 --- /dev/null +++ b/notebooks/analysis/MCMICRO-example-IDC/OME-TIFF/markers.csv @@ -0,0 +1,37 @@ +channel_number,cycle_number,marker_name,Filter,excitation_wavelength,emission_wavelength,background,exposure,remove +0,1,DNA,0,395,431,,, +1,1,Control-488nm,1,488,525,,, +2,1,Control-555nm,2,555,568,,, +3,1,Control-647nm,3,647,671,,, +4,2,DNA 2,4,395,431,,, +5,2,CD31,5,488,525,,, +6,2,Na/K ATPase,6,555,568,,, +7,2,CD45RO,7,647,671,,, +8,3,DNA 3,8,395,431,,, +9,3,Antigen Ki67,9,488,525,,, +10,3,Pan-cytokeratin,10,555,568,,, +11,3,Aortic smooth muscle actin,11,647,671,,, +12,4,DNA 4,12,395,431,,, +13,4,CD4,13,488,525,,, +14,4,14,14,555,568,,, +15,4,15,15,647,671,,, +16,5,DNA5,16,395,431,,, +17,5,CD20,17,488,525,,, +18,5,CD68,18,555,568,,, +19,5,CD8a,19,647,671,,, +20,6,DNA 6,20,395,431,,, +21,6,CD163,21,488,525,,, +22,6,FOXP3,22,555,568,,, +23,6,23,23,647,671,,, +24,7,DNA 7,24,395,431,,, +25,7,25,25,488,525,,, +26,7,Vimentin,26,555,568,,, +27,7,CDX-2,27,647,671,,, +28,8,DNA 8,28,395,431,,, +29,8,Lamin-A/B/C,29,488,525,,, +30,8,Desmin,30,555,568,,, +31,8,CD31,31,647,671,,, +32,9,DNA 9,32,395,431,,, +33,9,PCNA,33,488,525,,, +34,9,Antigen Ki67 2,34,555,568,,, +35,9,Collagen,35,647,671,,, \ No newline at end of file diff --git a/notebooks/analysis/MCMICRO-example-IDC/OME-TIFF/params.yml b/notebooks/analysis/MCMICRO-example-IDC/OME-TIFF/params.yml new file mode 100644 index 0000000..edc8f3c --- /dev/null +++ b/notebooks/analysis/MCMICRO-example-IDC/OME-TIFF/params.yml @@ -0,0 +1,5 @@ +workflow: + start-at: segmentation + stop-at: quantification + segmentation: ilastik + segmentation-channel: 1 diff --git a/notebooks/analysis/MCMICRO_with_IDC.ipynb b/notebooks/analysis/MCMICRO_with_IDC.ipynb new file mode 100644 index 0000000..e3fa766 --- /dev/null +++ b/notebooks/analysis/MCMICRO_with_IDC.ipynb @@ -0,0 +1,3664 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "ruHsIUcuHjhB" + }, + "source": [ + "# Analyzing IDC data via Bio-Formats and MCMICRO:\n", + "\n", + "[Bio-Formats](https://bio-formats.readthedocs.io/en/stable/index.html) provides the ability to read many different open and proprietary file formats. Whole slide imaging is a common use case, but many other imaging modalities are also supported. Many open source and commercial tools use Bio-Formats to enable interoperable support across imaging domains.\n", + "\n", + "Since it is a Java library, Bio-Formats can be used programmatically to read or convert data; a set of command line tools is also provided which is likely more convenient. Read more about conversion workflows [here](notebooks/advanced_topics/IDC_Recipes_Conversion.ipynb).\n", + "\n", + "[MCMICRO](https://mcmicro.org/) is an end-to-end processing pipeline that transforms multi-channel whole-slide images into single-cell data.\n", + "\n", + "MCMICRO uses Bio-Formats to read input image data; however, multi-image filesets [lacking a separate index file](https://mcmicro.org/troubleshooting/faq.html#q-mcmicro-doesnt-seem-to-recognize-my-file-format-how-do-i-tell-it-what-files-to-look-for), like DICOM, are not well supported. Image data from IDC can therefore be converted to OME-TIFF and used as input to MCMICRO. Read more from the MCMICRO project [here](https://mcmicro.org/tutorial/tutorial.html)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "q4tPN5tVH_Pw" + }, + "source": [ + "### Install required packages" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "X0zL0c6qAzVO", + "outputId": "0b56702c-43ee-4cc2-b2ec-639b8ee88bae" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: s5cmd in /Users/erindiel/IDC-Tutorials/.venv/lib/python3.10/site-packages (0.2.0)\n", + "--2024-06-19 15:22:14-- https://downloads.openmicroscopy.org/bio-formats/7.3.0/artifacts/bftools.zip\n", + "Resolving downloads.openmicroscopy.org (downloads.openmicroscopy.org)... 134.36.65.239\n", + "Connecting to downloads.openmicroscopy.org (downloads.openmicroscopy.org)|134.36.65.239|:443... connected.\n", + "HTTP request sent, awaiting response... 200 OK\n", + "Length: 42518871 (41M) [application/zip]\n", + "Saving to: ‘bftools.zip’\n", + "\n", + "bftools.zip 100%[===================>] 40.55M 2.42MB/s in 21s \n", + "\n", + "2024-06-19 15:22:36 (1.94 MB/s) - ‘bftools.zip’ saved [42518871/42518871]\n", + "\n", + "Archive: bftools.zip\n", + " creating: bftools/\n", + " inflating: bftools/bf-unconfigured.bat \n", + " inflating: bftools/bf.bat \n", + " inflating: bftools/bfconvert.bat \n", + " inflating: bftools/config.bat \n", + " inflating: bftools/config.sh \n", + " inflating: bftools/domainlist.bat \n", + " inflating: bftools/formatlist.bat \n", + " inflating: bftools/ijview.bat \n", + " inflating: bftools/logback.xml \n", + " inflating: bftools/mkfake.bat \n", + " inflating: bftools/showinf.bat \n", + " inflating: bftools/tiffcomment.bat \n", + " inflating: bftools/xmlindent.bat \n", + " inflating: bftools/xmlvalid.bat \n", + " inflating: bftools/bf-unconfigured \n", + " inflating: bftools/bf.sh \n", + " inflating: bftools/bfconvert \n", + " inflating: bftools/domainlist \n", + " inflating: bftools/formatlist \n", + " inflating: bftools/ijview \n", + " inflating: bftools/mkfake \n", + " inflating: bftools/showinf \n", + " inflating: bftools/tiffcomment \n", + " inflating: bftools/xmlindent \n", + " inflating: bftools/xmlvalid \n", + " inflating: bftools/bioformats_package.jar \n" + ] + } + ], + "source": [ + "# IDC supports image download via s5cmd\n", + "!pip install s5cmd\n", + "\n", + "# Install bfconvert via bftools\n", + "!wget https://downloads.openmicroscopy.org/bio-formats/7.3.0/artifacts/bftools.zip\n", + "!unzip bftools.zip" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Sample fluorescence data from IDC" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "2t_r584rylf9", + "outputId": "76c948ac-86f2-4f58-d825-a3e1a6ac8ea8" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/05b39218-9bac-44dc-8f4f-463802f6ec42.dcm MCMICRO-example-IDC/DICOM/05b39218-9bac-44dc-8f4f-463802f6ec42.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/a88e5897-96cd-450c-a27e-e7a1916c8efa.dcm MCMICRO-example-IDC/DICOM/a88e5897-96cd-450c-a27e-e7a1916c8efa.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/923d18e3-0e41-4db8-98ec-faaa466a9970.dcm MCMICRO-example-IDC/DICOM/923d18e3-0e41-4db8-98ec-faaa466a9970.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/72bd8b32-df42-42a3-b297-35d013e593a3.dcm MCMICRO-example-IDC/DICOM/72bd8b32-df42-42a3-b297-35d013e593a3.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/8d001790-4b0b-4402-b178-a744368bb5a9.dcm MCMICRO-example-IDC/DICOM/8d001790-4b0b-4402-b178-a744368bb5a9.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/2ca02489-aa62-43cb-8ab8-6960ebb8fa7b.dcm MCMICRO-example-IDC/DICOM/2ca02489-aa62-43cb-8ab8-6960ebb8fa7b.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/36fd1902-2dea-465e-931e-842a28519eb7.dcm MCMICRO-example-IDC/DICOM/36fd1902-2dea-465e-931e-842a28519eb7.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/3598ea20-90b3-49c7-9601-dbd71809217d.dcm MCMICRO-example-IDC/DICOM/3598ea20-90b3-49c7-9601-dbd71809217d.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/1f6622d1-bb52-4463-970b-f0c0dc6a80cd.dcm MCMICRO-example-IDC/DICOM/1f6622d1-bb52-4463-970b-f0c0dc6a80cd.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/bdabf725-75e8-4b84-b8fe-ad22b01b5583.dcm MCMICRO-example-IDC/DICOM/bdabf725-75e8-4b84-b8fe-ad22b01b5583.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/9b530dab-ed30-4651-b4c4-c21a5935ad8a.dcm MCMICRO-example-IDC/DICOM/9b530dab-ed30-4651-b4c4-c21a5935ad8a.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/f2546203-39dd-4716-bc96-a4e70c6c51cd.dcm MCMICRO-example-IDC/DICOM/f2546203-39dd-4716-bc96-a4e70c6c51cd.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/93b4ee9c-93c1-46e5-932d-f9d21c46ea53.dcm MCMICRO-example-IDC/DICOM/93b4ee9c-93c1-46e5-932d-f9d21c46ea53.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/601f2ae7-4efd-4952-a828-3b572b155f42.dcm MCMICRO-example-IDC/DICOM/601f2ae7-4efd-4952-a828-3b572b155f42.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/c88ac075-4591-4555-abe2-d21c1b9347a6.dcm MCMICRO-example-IDC/DICOM/c88ac075-4591-4555-abe2-d21c1b9347a6.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/cc151027-202e-4f1c-9ebb-b3ea26178189.dcm MCMICRO-example-IDC/DICOM/cc151027-202e-4f1c-9ebb-b3ea26178189.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/c959bba4-9ad4-46d5-a10f-0c0eb55109da.dcm MCMICRO-example-IDC/DICOM/c959bba4-9ad4-46d5-a10f-0c0eb55109da.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/2967e323-7423-47b0-9cd0-8da9401516a4.dcm MCMICRO-example-IDC/DICOM/2967e323-7423-47b0-9cd0-8da9401516a4.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/3f07c6c5-e578-4f04-87a4-2013597b0f7b.dcm MCMICRO-example-IDC/DICOM/3f07c6c5-e578-4f04-87a4-2013597b0f7b.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/94adc0a8-0061-4362-ab2e-d3e0a0f6ddb7.dcm MCMICRO-example-IDC/DICOM/94adc0a8-0061-4362-ab2e-d3e0a0f6ddb7.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/6c4de7fc-a090-407b-a65a-a092600cc8ee.dcm MCMICRO-example-IDC/DICOM/6c4de7fc-a090-407b-a65a-a092600cc8ee.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/bb57c931-442f-4714-a8ef-501173bdbc4c.dcm MCMICRO-example-IDC/DICOM/bb57c931-442f-4714-a8ef-501173bdbc4c.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/02b96695-b2f0-4e3f-9c53-9bac230838bf.dcm MCMICRO-example-IDC/DICOM/02b96695-b2f0-4e3f-9c53-9bac230838bf.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/0f5302c9-6bb9-4e7d-b123-646532a4642f.dcm MCMICRO-example-IDC/DICOM/0f5302c9-6bb9-4e7d-b123-646532a4642f.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/4ec155e0-82b9-4a56-a928-0c44a2b97ae0.dcm MCMICRO-example-IDC/DICOM/4ec155e0-82b9-4a56-a928-0c44a2b97ae0.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/fb8124c7-1f53-4ee8-93e3-698468044a22.dcm MCMICRO-example-IDC/DICOM/fb8124c7-1f53-4ee8-93e3-698468044a22.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/27b54545-aa4a-4d6c-80bf-751e3c76e62d.dcm MCMICRO-example-IDC/DICOM/27b54545-aa4a-4d6c-80bf-751e3c76e62d.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/d539f8a1-7295-40a0-8e35-414b1fe98847.dcm MCMICRO-example-IDC/DICOM/d539f8a1-7295-40a0-8e35-414b1fe98847.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/0dea822b-1e41-46de-aaf6-a21430c40241.dcm MCMICRO-example-IDC/DICOM/0dea822b-1e41-46de-aaf6-a21430c40241.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/9d4ce0a7-164a-451d-8393-7268770e25c6.dcm MCMICRO-example-IDC/DICOM/9d4ce0a7-164a-451d-8393-7268770e25c6.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/54250f14-6b07-458e-a567-346dc75f7cd2.dcm MCMICRO-example-IDC/DICOM/54250f14-6b07-458e-a567-346dc75f7cd2.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/c9997364-1a8c-4d19-a4ef-4efb9895ccd9.dcm MCMICRO-example-IDC/DICOM/c9997364-1a8c-4d19-a4ef-4efb9895ccd9.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/19aff135-5065-40aa-a850-d6a2d0c7d2b1.dcm MCMICRO-example-IDC/DICOM/19aff135-5065-40aa-a850-d6a2d0c7d2b1.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/b1364b78-9e6e-4e0f-8762-6da49334b51e.dcm MCMICRO-example-IDC/DICOM/b1364b78-9e6e-4e0f-8762-6da49334b51e.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/4d14fb3f-33fd-4abd-8bd0-bc44b11cfd85.dcm MCMICRO-example-IDC/DICOM/4d14fb3f-33fd-4abd-8bd0-bc44b11cfd85.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/1ba5bb18-844e-497c-be26-fdbdb594cd1b.dcm MCMICRO-example-IDC/DICOM/1ba5bb18-844e-497c-be26-fdbdb594cd1b.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/f1334a0a-6819-492c-aed1-e7b08ab0abfc.dcm MCMICRO-example-IDC/DICOM/f1334a0a-6819-492c-aed1-e7b08ab0abfc.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/eac3a9a8-77eb-4802-ad96-db9cb2f6e07e.dcm MCMICRO-example-IDC/DICOM/eac3a9a8-77eb-4802-ad96-db9cb2f6e07e.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/06eb1c7b-a834-49d0-a58a-d0eacb2ba6a4.dcm MCMICRO-example-IDC/DICOM/06eb1c7b-a834-49d0-a58a-d0eacb2ba6a4.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/3179637e-c5d6-43fe-8db6-dc17cbb9afe3.dcm MCMICRO-example-IDC/DICOM/3179637e-c5d6-43fe-8db6-dc17cbb9afe3.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/e7ca3b00-3ed9-46a9-aebf-fda27f74179a.dcm MCMICRO-example-IDC/DICOM/e7ca3b00-3ed9-46a9-aebf-fda27f74179a.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/db11f039-4a41-408e-a0c6-13433608e1e7.dcm MCMICRO-example-IDC/DICOM/db11f039-4a41-408e-a0c6-13433608e1e7.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/9db9c308-19e7-4d88-a972-62e9d3303e75.dcm MCMICRO-example-IDC/DICOM/9db9c308-19e7-4d88-a972-62e9d3303e75.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/08e13482-111d-434b-9c45-c8edc64e3b6e.dcm MCMICRO-example-IDC/DICOM/08e13482-111d-434b-9c45-c8edc64e3b6e.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/6c794c11-b26f-43d3-9c1d-571722454314.dcm MCMICRO-example-IDC/DICOM/6c794c11-b26f-43d3-9c1d-571722454314.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/44bdba23-02b4-44db-bc07-f6e71876001d.dcm MCMICRO-example-IDC/DICOM/44bdba23-02b4-44db-bc07-f6e71876001d.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/3025bd28-d643-4eec-8da9-9ade5c9cd664.dcm MCMICRO-example-IDC/DICOM/3025bd28-d643-4eec-8da9-9ade5c9cd664.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/acf3031b-77b7-4418-b1e1-0b4af67ceee3.dcm MCMICRO-example-IDC/DICOM/acf3031b-77b7-4418-b1e1-0b4af67ceee3.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/3d10054c-221d-43d9-8f89-3b129771939f.dcm MCMICRO-example-IDC/DICOM/3d10054c-221d-43d9-8f89-3b129771939f.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/8c998cb0-3bea-417e-9bd6-8c0f6f91207d.dcm MCMICRO-example-IDC/DICOM/8c998cb0-3bea-417e-9bd6-8c0f6f91207d.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/8ceb001a-e8ea-4a37-8ea3-b2fb19d5cd97.dcm MCMICRO-example-IDC/DICOM/8ceb001a-e8ea-4a37-8ea3-b2fb19d5cd97.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/7cc317e7-f3c2-49fe-a2c8-1845169cc1a1.dcm MCMICRO-example-IDC/DICOM/7cc317e7-f3c2-49fe-a2c8-1845169cc1a1.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/a242a97c-e6f1-4fbe-99d8-fb784712776a.dcm MCMICRO-example-IDC/DICOM/a242a97c-e6f1-4fbe-99d8-fb784712776a.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/29bf4170-b9f1-4546-9296-ec5fe8f5f2c5.dcm MCMICRO-example-IDC/DICOM/29bf4170-b9f1-4546-9296-ec5fe8f5f2c5.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/76eb955c-21b9-430e-9e87-38c4c5be4575.dcm MCMICRO-example-IDC/DICOM/76eb955c-21b9-430e-9e87-38c4c5be4575.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/3ea896d0-9421-498c-a838-85fca7b35381.dcm MCMICRO-example-IDC/DICOM/3ea896d0-9421-498c-a838-85fca7b35381.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/badc4bb2-b780-4fa3-9121-0af5261b779d.dcm MCMICRO-example-IDC/DICOM/badc4bb2-b780-4fa3-9121-0af5261b779d.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/3d4b87d0-2aae-47a2-847f-3302c1fca0af.dcm MCMICRO-example-IDC/DICOM/3d4b87d0-2aae-47a2-847f-3302c1fca0af.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/fe9f9a67-dd04-4649-a9ae-3e6c70a0072a.dcm MCMICRO-example-IDC/DICOM/fe9f9a67-dd04-4649-a9ae-3e6c70a0072a.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/99950745-415d-49a7-94eb-7904a0a417f9.dcm MCMICRO-example-IDC/DICOM/99950745-415d-49a7-94eb-7904a0a417f9.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/99ffc28c-011c-43d1-b0c8-31986d16a58e.dcm MCMICRO-example-IDC/DICOM/99ffc28c-011c-43d1-b0c8-31986d16a58e.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/266e8194-89c1-488e-b76e-93c606754c1c.dcm MCMICRO-example-IDC/DICOM/266e8194-89c1-488e-b76e-93c606754c1c.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/2e830963-4f04-4200-9568-398e3a5761f4.dcm MCMICRO-example-IDC/DICOM/2e830963-4f04-4200-9568-398e3a5761f4.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/92cf7c62-776a-4f85-9b22-4bcdc618ed7e.dcm MCMICRO-example-IDC/DICOM/92cf7c62-776a-4f85-9b22-4bcdc618ed7e.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/0cab7c07-c6ff-4f23-8e02-7b9a2658445c.dcm MCMICRO-example-IDC/DICOM/0cab7c07-c6ff-4f23-8e02-7b9a2658445c.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/024c44c5-e42c-49d4-9bf8-7a50023a3c83.dcm MCMICRO-example-IDC/DICOM/024c44c5-e42c-49d4-9bf8-7a50023a3c83.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/169f4c42-a8a8-4ad0-b7cf-e6aab290fece.dcm MCMICRO-example-IDC/DICOM/169f4c42-a8a8-4ad0-b7cf-e6aab290fece.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/3b886dc1-9538-45ce-8392-cb49c987f8b8.dcm MCMICRO-example-IDC/DICOM/3b886dc1-9538-45ce-8392-cb49c987f8b8.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/8ac6332f-b893-4bcc-a09b-93aba6a2a76b.dcm MCMICRO-example-IDC/DICOM/8ac6332f-b893-4bcc-a09b-93aba6a2a76b.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/f9f2248a-2ba2-429d-8aa6-870e50d909ec.dcm MCMICRO-example-IDC/DICOM/f9f2248a-2ba2-429d-8aa6-870e50d909ec.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/c8b75952-1306-4ff8-b93c-e3c5ffba171d.dcm MCMICRO-example-IDC/DICOM/c8b75952-1306-4ff8-b93c-e3c5ffba171d.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/ef6bb6a9-dbb7-464c-a3aa-129cb2954767.dcm MCMICRO-example-IDC/DICOM/ef6bb6a9-dbb7-464c-a3aa-129cb2954767.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/cad0ea48-d465-42b9-b0b8-40997b14b1c2.dcm MCMICRO-example-IDC/DICOM/cad0ea48-d465-42b9-b0b8-40997b14b1c2.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/6b65f9b5-677e-4a55-baf7-41451479de4c.dcm MCMICRO-example-IDC/DICOM/6b65f9b5-677e-4a55-baf7-41451479de4c.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/62af18b5-2c1f-4c6d-a968-5797161f0e83.dcm MCMICRO-example-IDC/DICOM/62af18b5-2c1f-4c6d-a968-5797161f0e83.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/da9f44ec-83d0-4804-b4d5-f6c6fafdb9e0.dcm MCMICRO-example-IDC/DICOM/da9f44ec-83d0-4804-b4d5-f6c6fafdb9e0.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/95d2e7ff-876e-4678-926d-aacc35b647f0.dcm MCMICRO-example-IDC/DICOM/95d2e7ff-876e-4678-926d-aacc35b647f0.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/217c0773-379b-48b6-bd40-f4f9c46be8a5.dcm MCMICRO-example-IDC/DICOM/217c0773-379b-48b6-bd40-f4f9c46be8a5.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/ef88fcaf-1b20-4527-8643-7a17a1dac076.dcm MCMICRO-example-IDC/DICOM/ef88fcaf-1b20-4527-8643-7a17a1dac076.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/562da97e-4041-460e-88c7-6cd7cde6c337.dcm MCMICRO-example-IDC/DICOM/562da97e-4041-460e-88c7-6cd7cde6c337.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/c4d0eab1-2959-460c-83d3-5ec0f93d70c3.dcm MCMICRO-example-IDC/DICOM/c4d0eab1-2959-460c-83d3-5ec0f93d70c3.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/2f44d3bc-1aab-4a5a-8098-73c9486e1f1d.dcm MCMICRO-example-IDC/DICOM/2f44d3bc-1aab-4a5a-8098-73c9486e1f1d.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/2799ef83-48d3-4ea2-922a-72d2de96a5d8.dcm MCMICRO-example-IDC/DICOM/2799ef83-48d3-4ea2-922a-72d2de96a5d8.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/cf582e1c-e807-4bdf-9ce2-866c5ea8233c.dcm MCMICRO-example-IDC/DICOM/cf582e1c-e807-4bdf-9ce2-866c5ea8233c.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/008786f0-f7c3-438c-8819-fe2c49f6460a.dcm MCMICRO-example-IDC/DICOM/008786f0-f7c3-438c-8819-fe2c49f6460a.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/a4e0a111-bd0d-4a05-acc7-e7d655580f63.dcm MCMICRO-example-IDC/DICOM/a4e0a111-bd0d-4a05-acc7-e7d655580f63.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/a534ef41-d47d-42e1-b73c-733f9d6b8472.dcm MCMICRO-example-IDC/DICOM/a534ef41-d47d-42e1-b73c-733f9d6b8472.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/138e0a30-a327-4ccc-afe9-f9338a9e9508.dcm MCMICRO-example-IDC/DICOM/138e0a30-a327-4ccc-afe9-f9338a9e9508.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/9c29846d-3f0f-4c63-be66-3e3b82630af5.dcm MCMICRO-example-IDC/DICOM/9c29846d-3f0f-4c63-be66-3e3b82630af5.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/62bc1d99-13b9-4212-86e9-cad12771eb5b.dcm MCMICRO-example-IDC/DICOM/62bc1d99-13b9-4212-86e9-cad12771eb5b.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/74380151-9396-4025-b330-90915520563f.dcm MCMICRO-example-IDC/DICOM/74380151-9396-4025-b330-90915520563f.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/12602b7a-a625-428d-8590-9c91caac5d44.dcm MCMICRO-example-IDC/DICOM/12602b7a-a625-428d-8590-9c91caac5d44.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/82105ac0-f11f-461b-85f4-7177d1c4544a.dcm MCMICRO-example-IDC/DICOM/82105ac0-f11f-461b-85f4-7177d1c4544a.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/f3ac0483-1e80-48f1-b041-6d38b435bbf6.dcm MCMICRO-example-IDC/DICOM/f3ac0483-1e80-48f1-b041-6d38b435bbf6.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/1cce0b00-9e5a-45bf-b64e-cb3d755ff0d5.dcm MCMICRO-example-IDC/DICOM/1cce0b00-9e5a-45bf-b64e-cb3d755ff0d5.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/674bd32e-185a-42ce-b345-0af4915d9e9f.dcm MCMICRO-example-IDC/DICOM/674bd32e-185a-42ce-b345-0af4915d9e9f.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/dd8551e6-3849-436d-b7eb-aeb873fb6dfc.dcm MCMICRO-example-IDC/DICOM/dd8551e6-3849-436d-b7eb-aeb873fb6dfc.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/9599389e-0198-4ca2-b8de-dfc46bd024be.dcm MCMICRO-example-IDC/DICOM/9599389e-0198-4ca2-b8de-dfc46bd024be.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/000d0779-4d9d-4a51-bb29-4e2fd7605ce3.dcm MCMICRO-example-IDC/DICOM/000d0779-4d9d-4a51-bb29-4e2fd7605ce3.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/4e6a7543-f07e-4708-9076-8bdc57b19c3c.dcm MCMICRO-example-IDC/DICOM/4e6a7543-f07e-4708-9076-8bdc57b19c3c.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/a11dbf8b-ff54-4d1c-9af2-7948c0266caf.dcm MCMICRO-example-IDC/DICOM/a11dbf8b-ff54-4d1c-9af2-7948c0266caf.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/1eced814-afcd-4ecc-8f9a-01dc097cf502.dcm MCMICRO-example-IDC/DICOM/1eced814-afcd-4ecc-8f9a-01dc097cf502.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/d20fd822-4359-47b8-9a80-cb78b0f2a852.dcm MCMICRO-example-IDC/DICOM/d20fd822-4359-47b8-9a80-cb78b0f2a852.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/ea2c6559-8fc5-432c-b70e-3fc2013e1208.dcm MCMICRO-example-IDC/DICOM/ea2c6559-8fc5-432c-b70e-3fc2013e1208.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/c3659b3a-aff3-4186-8cbd-ceafe9e7b81b.dcm MCMICRO-example-IDC/DICOM/c3659b3a-aff3-4186-8cbd-ceafe9e7b81b.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/93955044-7552-4222-ac85-2b95670c8b12.dcm MCMICRO-example-IDC/DICOM/93955044-7552-4222-ac85-2b95670c8b12.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/3b7cba3b-d8f2-4dba-b02f-58782153eabd.dcm MCMICRO-example-IDC/DICOM/3b7cba3b-d8f2-4dba-b02f-58782153eabd.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/699221d7-5079-4498-b88a-488fbf036080.dcm MCMICRO-example-IDC/DICOM/699221d7-5079-4498-b88a-488fbf036080.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/34442052-dad3-45a2-8af2-8e9bbd6f32ef.dcm MCMICRO-example-IDC/DICOM/34442052-dad3-45a2-8af2-8e9bbd6f32ef.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/00284962-851e-48e1-9f5e-3bf6f732badf.dcm MCMICRO-example-IDC/DICOM/00284962-851e-48e1-9f5e-3bf6f732badf.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/54e6b4a6-f623-4047-87e7-1114332d0b7a.dcm MCMICRO-example-IDC/DICOM/54e6b4a6-f623-4047-87e7-1114332d0b7a.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/782fc0d5-944d-40fb-a6c4-62e07d09d3c0.dcm MCMICRO-example-IDC/DICOM/782fc0d5-944d-40fb-a6c4-62e07d09d3c0.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/3a0faeaf-f494-487b-be92-5fcb388706b6.dcm MCMICRO-example-IDC/DICOM/3a0faeaf-f494-487b-be92-5fcb388706b6.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/358974d9-db91-4314-ae53-a795bf60c6e4.dcm MCMICRO-example-IDC/DICOM/358974d9-db91-4314-ae53-a795bf60c6e4.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/fc27061e-0cee-4ba3-ba21-d42f1409b8ea.dcm MCMICRO-example-IDC/DICOM/fc27061e-0cee-4ba3-ba21-d42f1409b8ea.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/418ead2a-d550-4ed4-8a56-6c58f34e114c.dcm MCMICRO-example-IDC/DICOM/418ead2a-d550-4ed4-8a56-6c58f34e114c.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/b248e18d-29bc-476e-b28b-1f55cb69669d.dcm MCMICRO-example-IDC/DICOM/b248e18d-29bc-476e-b28b-1f55cb69669d.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/3c8eff7c-3a88-4d28-b559-a35da079cfaa.dcm MCMICRO-example-IDC/DICOM/3c8eff7c-3a88-4d28-b559-a35da079cfaa.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/0bbc4fbd-c542-4027-b643-b6b9d5c73c2a.dcm MCMICRO-example-IDC/DICOM/0bbc4fbd-c542-4027-b643-b6b9d5c73c2a.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/10455577-5a2d-434d-a1dc-755b4a807f0e.dcm MCMICRO-example-IDC/DICOM/10455577-5a2d-434d-a1dc-755b4a807f0e.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/a8231939-ed32-4103-8b1a-e096ba438a1f.dcm MCMICRO-example-IDC/DICOM/a8231939-ed32-4103-8b1a-e096ba438a1f.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/3c6ab4f2-38f6-45fa-a59a-5a6330cdcf92.dcm MCMICRO-example-IDC/DICOM/3c6ab4f2-38f6-45fa-a59a-5a6330cdcf92.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/9b026756-53bb-4287-afcc-4e92fdd09ab2.dcm MCMICRO-example-IDC/DICOM/9b026756-53bb-4287-afcc-4e92fdd09ab2.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/5dd20169-01c8-40ce-b61a-42b55d4f1ffb.dcm MCMICRO-example-IDC/DICOM/5dd20169-01c8-40ce-b61a-42b55d4f1ffb.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/920b68a0-151c-4506-86db-708c061422b3.dcm MCMICRO-example-IDC/DICOM/920b68a0-151c-4506-86db-708c061422b3.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/e6b99dce-8c82-496e-9722-31a91bb6c5f5.dcm MCMICRO-example-IDC/DICOM/e6b99dce-8c82-496e-9722-31a91bb6c5f5.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/70282f9b-95a5-40d2-87bf-0c8b6ce247f4.dcm MCMICRO-example-IDC/DICOM/70282f9b-95a5-40d2-87bf-0c8b6ce247f4.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/e174336f-a041-4655-87ad-78144f6246f0.dcm MCMICRO-example-IDC/DICOM/e174336f-a041-4655-87ad-78144f6246f0.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/d78197de-8aa9-40de-9dda-5c22278a399a.dcm MCMICRO-example-IDC/DICOM/d78197de-8aa9-40de-9dda-5c22278a399a.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/a94e0782-4de0-4af5-b44c-c24ec501c9e6.dcm MCMICRO-example-IDC/DICOM/a94e0782-4de0-4af5-b44c-c24ec501c9e6.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/2b41d461-477e-4c69-b1b7-7d9e6c4205da.dcm MCMICRO-example-IDC/DICOM/2b41d461-477e-4c69-b1b7-7d9e6c4205da.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/8890932a-e8e7-4a31-9e79-a50ffd87b4a5.dcm MCMICRO-example-IDC/DICOM/8890932a-e8e7-4a31-9e79-a50ffd87b4a5.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/f04f66e8-151d-4109-aa2e-d51524a6d185.dcm MCMICRO-example-IDC/DICOM/f04f66e8-151d-4109-aa2e-d51524a6d185.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/22bf7b36-0d1e-4605-940c-29e62a32ab33.dcm MCMICRO-example-IDC/DICOM/22bf7b36-0d1e-4605-940c-29e62a32ab33.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/8a235cbe-1b5f-4cb7-8629-1f8074ba3839.dcm MCMICRO-example-IDC/DICOM/8a235cbe-1b5f-4cb7-8629-1f8074ba3839.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/48abd34c-f0f2-4fc6-9a6a-08d563cc2b76.dcm MCMICRO-example-IDC/DICOM/48abd34c-f0f2-4fc6-9a6a-08d563cc2b76.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/5e7dd301-aae4-41d6-a626-f0cae3a70830.dcm MCMICRO-example-IDC/DICOM/5e7dd301-aae4-41d6-a626-f0cae3a70830.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/15ea9fc3-e9a3-4613-8b21-2a36b15a8111.dcm MCMICRO-example-IDC/DICOM/15ea9fc3-e9a3-4613-8b21-2a36b15a8111.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/bdc1a069-3a44-464f-aa5e-e5e913b518e7.dcm MCMICRO-example-IDC/DICOM/bdc1a069-3a44-464f-aa5e-e5e913b518e7.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/263d3d87-b135-46f9-af7e-155a121f533b.dcm MCMICRO-example-IDC/DICOM/263d3d87-b135-46f9-af7e-155a121f533b.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/8a4de6e5-d08c-4ac3-a2ae-5dac7151a493.dcm MCMICRO-example-IDC/DICOM/8a4de6e5-d08c-4ac3-a2ae-5dac7151a493.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/8cc27d03-5a28-4226-b317-c81b2f4e4fe6.dcm MCMICRO-example-IDC/DICOM/8cc27d03-5a28-4226-b317-c81b2f4e4fe6.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/0edf6bba-a22c-463a-b483-fc179c7df42c.dcm MCMICRO-example-IDC/DICOM/0edf6bba-a22c-463a-b483-fc179c7df42c.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/d3ba022c-5e9f-4229-aeee-e4e50d352cca.dcm MCMICRO-example-IDC/DICOM/d3ba022c-5e9f-4229-aeee-e4e50d352cca.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/675297bc-73fc-499a-bc23-5da2e25793fc.dcm MCMICRO-example-IDC/DICOM/675297bc-73fc-499a-bc23-5da2e25793fc.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/98542950-174a-4262-acad-fe5307936c1f.dcm MCMICRO-example-IDC/DICOM/98542950-174a-4262-acad-fe5307936c1f.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/d0d177ae-36f9-4038-88d2-1972c96535c0.dcm MCMICRO-example-IDC/DICOM/d0d177ae-36f9-4038-88d2-1972c96535c0.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/a443543d-784d-4103-912b-7f9757531132.dcm MCMICRO-example-IDC/DICOM/a443543d-784d-4103-912b-7f9757531132.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/9cd685a3-73e2-4aa6-bd74-812cf2128013.dcm MCMICRO-example-IDC/DICOM/9cd685a3-73e2-4aa6-bd74-812cf2128013.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/788e4774-03a2-4746-a598-df76a0a44290.dcm MCMICRO-example-IDC/DICOM/788e4774-03a2-4746-a598-df76a0a44290.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/4664b5b4-6476-472e-91f9-171bd6480073.dcm MCMICRO-example-IDC/DICOM/4664b5b4-6476-472e-91f9-171bd6480073.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/f8ea6f97-61fa-44fc-9a9d-ce28f15ac05b.dcm MCMICRO-example-IDC/DICOM/f8ea6f97-61fa-44fc-9a9d-ce28f15ac05b.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/f84f0ab9-2023-4de4-a937-fc57d1a7d2a2.dcm MCMICRO-example-IDC/DICOM/f84f0ab9-2023-4de4-a937-fc57d1a7d2a2.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/f342b9aa-1dc0-4a37-a976-335ef193787e.dcm MCMICRO-example-IDC/DICOM/f342b9aa-1dc0-4a37-a976-335ef193787e.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/f597aa41-d1c0-4298-bfb4-05ed3efc5c88.dcm MCMICRO-example-IDC/DICOM/f597aa41-d1c0-4298-bfb4-05ed3efc5c88.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/b37a9ee7-f857-4b9f-938b-b5d2a1a6596e.dcm MCMICRO-example-IDC/DICOM/b37a9ee7-f857-4b9f-938b-b5d2a1a6596e.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/9bb08863-cc39-44d1-aed7-75e22a7d52ed.dcm MCMICRO-example-IDC/DICOM/9bb08863-cc39-44d1-aed7-75e22a7d52ed.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/db28e014-225a-405b-a653-79cddc25aa8d.dcm MCMICRO-example-IDC/DICOM/db28e014-225a-405b-a653-79cddc25aa8d.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/d336095d-9536-401d-8e5d-9f7c235f49eb.dcm MCMICRO-example-IDC/DICOM/d336095d-9536-401d-8e5d-9f7c235f49eb.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/e0a096b2-6c24-400e-85f4-6f03af413f1e.dcm MCMICRO-example-IDC/DICOM/e0a096b2-6c24-400e-85f4-6f03af413f1e.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/09147380-0a64-4444-af49-0d02e093caf9.dcm MCMICRO-example-IDC/DICOM/09147380-0a64-4444-af49-0d02e093caf9.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/e1f147cc-321c-4bdd-b0db-975e441fed61.dcm MCMICRO-example-IDC/DICOM/e1f147cc-321c-4bdd-b0db-975e441fed61.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/b6a28c03-d30d-4575-b487-3af010f93725.dcm MCMICRO-example-IDC/DICOM/b6a28c03-d30d-4575-b487-3af010f93725.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/c718a3ff-ea30-436e-86ec-37615cc4259c.dcm MCMICRO-example-IDC/DICOM/c718a3ff-ea30-436e-86ec-37615cc4259c.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/ce2c2b79-053c-4f09-b9c5-a64384a1523a.dcm MCMICRO-example-IDC/DICOM/ce2c2b79-053c-4f09-b9c5-a64384a1523a.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/e7f68808-d9de-4034-bd8f-c55307745681.dcm MCMICRO-example-IDC/DICOM/e7f68808-d9de-4034-bd8f-c55307745681.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/091a01b7-d6dd-44b5-9600-8119f45f9926.dcm MCMICRO-example-IDC/DICOM/091a01b7-d6dd-44b5-9600-8119f45f9926.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/2d09eb60-5161-4288-b9b2-9ebe340641c6.dcm MCMICRO-example-IDC/DICOM/2d09eb60-5161-4288-b9b2-9ebe340641c6.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/cfd22ea4-6b92-4b49-bcd2-deb996d0635a.dcm MCMICRO-example-IDC/DICOM/cfd22ea4-6b92-4b49-bcd2-deb996d0635a.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/4f8a51fe-39fc-4346-9950-5931025031f8.dcm MCMICRO-example-IDC/DICOM/4f8a51fe-39fc-4346-9950-5931025031f8.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/a1e24e20-94de-41e0-ac76-5052e1777d33.dcm MCMICRO-example-IDC/DICOM/a1e24e20-94de-41e0-ac76-5052e1777d33.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/e38ed527-2bb5-4357-a7bd-71b7ff8ba588.dcm MCMICRO-example-IDC/DICOM/e38ed527-2bb5-4357-a7bd-71b7ff8ba588.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/a9713930-1ed9-4299-8661-7fc1d5a23984.dcm MCMICRO-example-IDC/DICOM/a9713930-1ed9-4299-8661-7fc1d5a23984.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/6997b776-ef12-49a1-bbee-90df136039e8.dcm MCMICRO-example-IDC/DICOM/6997b776-ef12-49a1-bbee-90df136039e8.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/bf85428f-34e9-4b79-b069-ff8f9620a48d.dcm MCMICRO-example-IDC/DICOM/bf85428f-34e9-4b79-b069-ff8f9620a48d.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/f21c6415-f237-4cf2-b646-ccf84da0d8da.dcm MCMICRO-example-IDC/DICOM/f21c6415-f237-4cf2-b646-ccf84da0d8da.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/3aec7879-dda2-4c64-bcb2-de24dbeaca71.dcm MCMICRO-example-IDC/DICOM/3aec7879-dda2-4c64-bcb2-de24dbeaca71.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/f0285aaf-2d3d-4a51-9b44-3552da3475d4.dcm MCMICRO-example-IDC/DICOM/f0285aaf-2d3d-4a51-9b44-3552da3475d4.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/7f154449-615a-41e8-8bdb-96efbe1f11a9.dcm MCMICRO-example-IDC/DICOM/7f154449-615a-41e8-8bdb-96efbe1f11a9.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/fd5c65c6-d1eb-4b86-8cf1-38fdd56f33fc.dcm MCMICRO-example-IDC/DICOM/fd5c65c6-d1eb-4b86-8cf1-38fdd56f33fc.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/cf7b5157-d2c5-48c4-8b91-13863a8b8ce9.dcm MCMICRO-example-IDC/DICOM/cf7b5157-d2c5-48c4-8b91-13863a8b8ce9.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/27703eec-bece-4a9f-bb00-8854cfcb8bf7.dcm MCMICRO-example-IDC/DICOM/27703eec-bece-4a9f-bb00-8854cfcb8bf7.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/93f8bbfd-8167-4658-9525-5dca69a4fe1e.dcm MCMICRO-example-IDC/DICOM/93f8bbfd-8167-4658-9525-5dca69a4fe1e.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/5b1dada2-df4c-47fa-9983-9506a519a937.dcm MCMICRO-example-IDC/DICOM/5b1dada2-df4c-47fa-9983-9506a519a937.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/eb5ea35c-d41d-4d34-a1c9-9b5f6a9b71ce.dcm MCMICRO-example-IDC/DICOM/eb5ea35c-d41d-4d34-a1c9-9b5f6a9b71ce.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/96c4e6bc-f534-4102-8337-d1667d9f69c2.dcm MCMICRO-example-IDC/DICOM/96c4e6bc-f534-4102-8337-d1667d9f69c2.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/5bb80e3d-0426-4aeb-a637-ba7a2cbe5ef2.dcm MCMICRO-example-IDC/DICOM/5bb80e3d-0426-4aeb-a637-ba7a2cbe5ef2.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/120c95c2-a15b-4ea6-9670-eae2b3bc07b1.dcm MCMICRO-example-IDC/DICOM/120c95c2-a15b-4ea6-9670-eae2b3bc07b1.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/46603a5d-b590-45fb-b08b-b5210dfcc4a0.dcm MCMICRO-example-IDC/DICOM/46603a5d-b590-45fb-b08b-b5210dfcc4a0.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/1fe44816-ddca-4d7f-8a86-2906feaa8789.dcm MCMICRO-example-IDC/DICOM/1fe44816-ddca-4d7f-8a86-2906feaa8789.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/88d5deec-60fe-4305-b3a6-095d6829845a.dcm MCMICRO-example-IDC/DICOM/88d5deec-60fe-4305-b3a6-095d6829845a.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/379c2de5-a86c-4997-be6e-eb93fd1b159f.dcm MCMICRO-example-IDC/DICOM/379c2de5-a86c-4997-be6e-eb93fd1b159f.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/7fc774b7-6718-4138-b76b-0f5e19f53f20.dcm MCMICRO-example-IDC/DICOM/7fc774b7-6718-4138-b76b-0f5e19f53f20.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/f7aa4b91-abb2-43b0-81bf-5a315585a462.dcm MCMICRO-example-IDC/DICOM/f7aa4b91-abb2-43b0-81bf-5a315585a462.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/6d2395f8-e92c-4f28-b229-ed90366c98cf.dcm MCMICRO-example-IDC/DICOM/6d2395f8-e92c-4f28-b229-ed90366c98cf.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/cfb5003f-3d7e-4f23-b730-250a59e94474.dcm MCMICRO-example-IDC/DICOM/cfb5003f-3d7e-4f23-b730-250a59e94474.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/d3cb6e35-0aa6-47b1-842f-56e4bc25a5b4.dcm MCMICRO-example-IDC/DICOM/d3cb6e35-0aa6-47b1-842f-56e4bc25a5b4.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/a4d2f280-2aa1-4746-8982-814dc4f36761.dcm MCMICRO-example-IDC/DICOM/a4d2f280-2aa1-4746-8982-814dc4f36761.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/5465d3b8-4886-4fd5-95e3-25df2c80b442.dcm MCMICRO-example-IDC/DICOM/5465d3b8-4886-4fd5-95e3-25df2c80b442.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/85fae474-c106-41bc-807b-d6584d57ffed.dcm MCMICRO-example-IDC/DICOM/85fae474-c106-41bc-807b-d6584d57ffed.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/90f0520a-4502-4d1f-92a0-fbf2aec9ca25.dcm MCMICRO-example-IDC/DICOM/90f0520a-4502-4d1f-92a0-fbf2aec9ca25.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/7806a77a-825a-4bc5-a2f1-561adfc3c996.dcm MCMICRO-example-IDC/DICOM/7806a77a-825a-4bc5-a2f1-561adfc3c996.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/c4695fd6-6511-4d40-8338-f3a35a20675c.dcm MCMICRO-example-IDC/DICOM/c4695fd6-6511-4d40-8338-f3a35a20675c.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/72bfba0c-6086-439a-959c-0f596e777f43.dcm MCMICRO-example-IDC/DICOM/72bfba0c-6086-439a-959c-0f596e777f43.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/6e7afd1b-a009-461b-9f56-df9686e8188e.dcm MCMICRO-example-IDC/DICOM/6e7afd1b-a009-461b-9f56-df9686e8188e.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/dc6b3aff-0421-47c0-9648-bbf95f51a95d.dcm MCMICRO-example-IDC/DICOM/dc6b3aff-0421-47c0-9648-bbf95f51a95d.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/50b64963-995f-4113-8f61-50425f06052b.dcm MCMICRO-example-IDC/DICOM/50b64963-995f-4113-8f61-50425f06052b.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/8c193e38-ea92-4350-9348-6efd18db16b8.dcm MCMICRO-example-IDC/DICOM/8c193e38-ea92-4350-9348-6efd18db16b8.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/921cb689-0180-4ee6-a298-98c403cf2c62.dcm MCMICRO-example-IDC/DICOM/921cb689-0180-4ee6-a298-98c403cf2c62.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/0548fd40-cc50-47ca-9ed6-879706ea2a20.dcm MCMICRO-example-IDC/DICOM/0548fd40-cc50-47ca-9ed6-879706ea2a20.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/819cbef0-12da-4e81-a55d-645f11dab3f0.dcm MCMICRO-example-IDC/DICOM/819cbef0-12da-4e81-a55d-645f11dab3f0.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/b72a54fe-3091-4848-8661-f5fa3b0f0c7d.dcm MCMICRO-example-IDC/DICOM/b72a54fe-3091-4848-8661-f5fa3b0f0c7d.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/8c54f6e4-7226-4a55-b63b-4d4b74622ca5.dcm MCMICRO-example-IDC/DICOM/8c54f6e4-7226-4a55-b63b-4d4b74622ca5.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/1e6a68ea-a45a-4d54-aa3a-090a8b0b772e.dcm MCMICRO-example-IDC/DICOM/1e6a68ea-a45a-4d54-aa3a-090a8b0b772e.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/d490a51b-5f24-4f5a-bf7b-8b38c33200ae.dcm MCMICRO-example-IDC/DICOM/d490a51b-5f24-4f5a-bf7b-8b38c33200ae.dcm\n", + "cp s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/8db6a451-993d-41ea-804c-76705d155e03.dcm MCMICRO-example-IDC/DICOM/8db6a451-993d-41ea-804c-76705d155e03.dcm\n" + ] + } + ], + "source": [ + "# Download sample fluorescence data from IDC\n", + "\n", + "!s5cmd --no-sign-request --endpoint-url https://s3.amazonaws.com cp \"s3://idc-open-data/fc078201-b5c5-47d1-92da-3c81dd8cc2c5/*\" MCMICRO-example-IDC/DICOM/" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Conversion Recipes for fluorescence data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "seOZBDwl3RKG", + "outputId": "5f8a5094-2b33-40e5-f54e-39264fcc7bd4" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Checking file format [DICOM]\n", + "Initializing reader\n", + "DicomReader initializing MCMICRO-example-IDC/DICOM/7f154449-615a-41e8-8bdb-96efbe1f11a9.dcm\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating 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image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Initialization took 0.728s\n", + "\n", + "Reading core metadata\n", + "filename = /Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/7f154449-615a-41e8-8bdb-96efbe1f11a9.dcm\n", + "Used files:\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/7f154449-615a-41e8-8bdb-96efbe1f11a9.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/a4d2f280-2aa1-4746-8982-814dc4f36761.dcm\n", + 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"\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/0dea822b-1e41-46de-aaf6-a21430c40241.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/4d14fb3f-33fd-4abd-8bd0-bc44b11cfd85.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/44bdba23-02b4-44db-bc07-f6e71876001d.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/9b530dab-ed30-4651-b4c4-c21a5935ad8a.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/54250f14-6b07-458e-a567-346dc75f7cd2.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/8d001790-4b0b-4402-b178-a744368bb5a9.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/36fd1902-2dea-465e-931e-842a28519eb7.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/0cab7c07-c6ff-4f23-8e02-7b9a2658445c.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/1f6622d1-bb52-4463-970b-f0c0dc6a80cd.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/72bd8b32-df42-42a3-b297-35d013e593a3.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/02b96695-b2f0-4e3f-9c53-9bac230838bf.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/94adc0a8-0061-4362-ab2e-d3e0a0f6ddb7.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/f1334a0a-6819-492c-aed1-e7b08ab0abfc.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/a88e5897-96cd-450c-a27e-e7a1916c8efa.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/e7ca3b00-3ed9-46a9-aebf-fda27f74179a.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/3598ea20-90b3-49c7-9601-dbd71809217d.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/6c4de7fc-a090-407b-a65a-a092600cc8ee.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/2ca02489-aa62-43cb-8ab8-6960ebb8fa7b.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/c88ac075-4591-4555-abe2-d21c1b9347a6.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/27b54545-aa4a-4d6c-80bf-751e3c76e62d.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/bdabf725-75e8-4b84-b8fe-ad22b01b5583.dcm\n", + "\t/Users/erindiel/IDC-Tutorials/notebooks/analysis/MCMICRO-example-IDC/DICOM/acf3031b-77b7-4418-b1e1-0b4af67ceee3.dcm\n", + "Series count = 1\n", + "Series #0 :\n", + "\tResolutions = 6\n", + "\t\tsizeX[0] = 24920\n", + "\t\tsizeX[1] = 12460\n", + "\t\tsizeX[2] = 6230\n", + "\t\tsizeX[3] = 3115\n", + "\t\tsizeX[4] = 1558\n", + "\t\tsizeX[5] = 779\n", + "\tImage count = 36\n", + "\tRGB = false (1) \n", + "\tInterleaved = false\n", + "\tIndexed = false (true color)\n", + "\tWidth = 24920\n", + "\tHeight = 26094\n", + "\tSizeZ = 1\n", + "\tSizeT = 1\n", + "\tSizeC = 36\n", + "\tTile size = 1024 x 1024\n", + "\tThumbnail size = 122 x 128\n", + "\tEndianness = intel (little)\n", + "\tDimension order = XYCZT (certain)\n", + "\tPixel type = uint16\n", + "\tValid bits per pixel = 16\n", + "\tMetadata complete = true\n", + "\tThumbnail series = false\n", + "\t-----\n", + "\tPlane #0 <=> Z 0, C 0, T 0\n", + "\tPlane #16 <=> Z 0, C 16, T 0\n", + "\tPlane #17 <=> Z 0, C 17, T 0\n", + "\tPlane #18 <=> Z 0, C 18, T 0\n", + "\tPlane #19 <=> Z 0, C 19, T 0\n", + "\tPlane #20 <=> Z 0, C 20, T 0\n", + "\tPlane #35 <=> Z 0, C 35, T 0\n", + "\n", + "\n", + "Reading global metadata\n", + "\n", + "Reading metadata\n", + "0002,0000 File Meta Information Group Length: 222\n", + "0002,0002 Media Storage SOP Class UID: 1.2.840.10008.5.1.4.1.1.77.1.6\n", + "0002,0003 Media Storage SOP Instance UID: 1.3.6.1.4.1.5962.99.1.2343322182.1764456793.1655905763910.10.0\n", + "0002,0010 Transfer Syntax UID: 1.2.840.10008.1.2.1\n", + "0002,0012 Implementation Class UID: 1.3.6.1.4.1.5962.99.2\n", + "0002,0013 Implementation Version Name: PIXELMEDJAVA001\n", + "0002,0016 Source Application Entity Title: OURAETITLE\n", + "0008,0008 Image Type: DERIVED\\PRIMARY\\VOLUME\\NONE\n", + "0008,0012 Instance Creation Date: 20220622\n", + "0008,0013 Instance Creation Time: 134924.718\n", + "0008,0014 Instance Creator UID: 1.3.6.1.4.1.5962.99.3\n", + "0008,0016 SOP Class UID: 1.2.840.10008.5.1.4.1.1.77.1.6\n", + "0008,0017: 1.3.6.1.4.1.5962.99.1.2343322182.1764456793.1655905763910.3.0\n", + "0008,0018 SOP Instance UID: 1.3.6.1.4.1.5962.99.1.2343322182.1764456793.1655905763910.10.0\n", + "0008,0019: 1.3.6.1.4.1.5962.99.1.2343322182.1764456793.1655905763910.2.0\n", + "0008,0020 Study Date: 20200921\n", + "0008,0021 Series Date: 20200921\n", + "0008,0022 Acquisition Date: 20200921\n", + "0008,0023 Content Date: 20200921\n", + "0008,002a Acquisition Date/Time: 20200921215608\n", + "0008,0030 Study Time: 215608\n", + "0008,0031 Series Time: 215608\n", + "0008,0032 Acquisition Time: 215608\n", + "0008,0033 Content Time: 215608\n", + "0008,0050 Accession Number: HTA7_920\n", + "0008,0060 Modality: SM\n", + "0008,0070 Manufacturer #1: RareCyte\n", + "0008,0070 Manufacturer #2: PixelMed\n", + "0008,0080 Institution Name #1: Harvard Medical School\n", + "0008,0080 Institution Name #2: PixelMed\n", + "0008,0081 Institution Address: Bangor, PA\n", + "0008,0090 Referring Physician's Name: ^^^^\n", + "0008,0100 Code Value #01: 109103\n", + "0008,0100 Code Value #02: 433466003\n", + "0008,0100 Code Value #03: 11323-3\n", + "0008,0100 Code Value #04: 438949009\n", + "0008,0100 Code Value #05: 34402009\n", + "0008,0100 Code Value #06: 86049000\n", + "0008,0100 Code Value #07: 121041\n", + "0008,0100 Code Value #08: 111701\n", + "0008,0100 Code Value #09: 17636008\n", + "0008,0100 Code Value #10: 17636008\n", + "0008,0100 Code Value #11: 65801008\n", + "0008,0100 Code Value #12: 121041\n", + "0008,0100 Code Value #13: 434711009\n", + "0008,0100 Code Value #14: 433466003\n", + "0008,0100 Code Value #15: 371439000\n", + "0008,0100 Code Value #16: 1179252003\n", + "0008,0100 Code Value #17: 111701\n", + "0008,0100 Code Value #18: 433465004\n", + "0008,0100 Code Value #19: 111704\n", + "0008,0100 Code Value #20: 434472006\n", + "0008,0100 Code Value #21: 111705\n", + "0008,0100 Code Value #22: 111707\n", + "0008,0100 Code Value #23: 430861001\n", + "0008,0100 Code Value #24: 121041\n", + "0008,0100 Code Value #25: 111701\n", + "0008,0100 Code Value #26: 127790008\n", + "0008,0100 Code Value #27: C44170\n", + "0008,0100 Code Value #28: C25472\n", + "0008,0100 Code Value #29: 246094008\n", + "0008,0100 Code Value #30: 24851008\n", + "0008,0100 Code Value #31: 246094008\n", + "0008,0100 Code Value #32: C2480\n", + "0008,0100 Code Value #33: C0598447\n", + "0008,0100 Code Value #34: C0598447\n", + "0008,0100 Code Value #35: 1464\n", + "0008,0100 Code Value #36: C0598447\n", + "0008,0100 Code Value #37: 424361007\n", + "0008,0100 Code Value #38: AB_10626776\n", + "0008,0100 Code Value #39: 703857004\n", + "0008,0100 Code Value #40: 406858009\n", + "0008,0100 Code Value #41: C0947322\n", + "0008,0100 Code Value #42: 111529\n", + "0008,0100 Code Value #43: C4281604\n", + "0008,0100 Code Value #44: 111743\n", + "0008,0100 Code Value #45: 134223000\n", + "0008,0102 Coding Scheme Designator #01: DCM\n", + "0008,0102 Coding Scheme Designator #02: LN\n", + "0008,0102 Coding Scheme Designator #03: NCIt\n", + "0008,0102 Coding Scheme Designator #04: PUBCHEM_CID\n", + "0008,0102 Coding Scheme Designator #05: SCT\n", + "0008,0102 Coding Scheme Designator #06: UMLS\n", + "0008,0102 Coding Scheme Designator #07: DCM\n", + "0008,0102 Coding Scheme Designator #08: SCT\n", + "0008,0102 Coding Scheme Designator #09: LN\n", + "0008,0102 Coding Scheme Designator #10: SCT\n", + "0008,0102 Coding Scheme Designator #11: SCT\n", + "0008,0102 Coding Scheme Designator #12: SCT\n", + "0008,0102 Coding Scheme Designator #13: DCM\n", + "0008,0102 Coding Scheme Designator #14: DCM\n", + "0008,0102 Coding Scheme Designator #15: SCT\n", + "0008,0102 Coding Scheme Designator #16: SCT\n", + "0008,0102 Coding Scheme Designator #17: SCT\n", + "0008,0102 Coding Scheme Designator #18: DCM\n", + "0008,0102 Coding Scheme Designator #19: SCT\n", + "0008,0102 Coding Scheme Designator #20: SCT\n", + "0008,0102 Coding Scheme Designator #21: SCT\n", + "0008,0102 Coding Scheme Designator #22: SCT\n", + "0008,0102 Coding Scheme Designator #23: DCM\n", + "0008,0102 Coding Scheme Designator #24: SCT\n", + "0008,0102 Coding Scheme Designator #25: DCM\n", + "0008,0102 Coding Scheme Designator #26: SCT\n", + "0008,0102 Coding Scheme Designator #27: DCM\n", + "0008,0102 Coding Scheme Designator #28: DCM\n", + "0008,0102 Coding Scheme Designator #29: SCT\n", + "0008,0102 Coding Scheme Designator #30: DCM\n", + "0008,0102 Coding Scheme Designator #31: DCM\n", + "0008,0102 Coding Scheme Designator #32: SCT\n", + "0008,0102 Coding Scheme Designator #33: NCIt\n", + "0008,0102 Coding Scheme Designator #34: NCIt\n", + "0008,0102 Coding Scheme Designator #35: SCT\n", + "0008,0102 Coding Scheme Designator #36: SCT\n", + "0008,0102 Coding Scheme Designator #37: SCT\n", + "0008,0102 Coding Scheme Designator #38: NCIt\n", + "0008,0102 Coding Scheme Designator #39: UMLS\n", + "0008,0102 Coding Scheme Designator #40: UMLS\n", + "0008,0102 Coding Scheme Designator #41: PUBCHEM_CID\n", + "0008,0102 Coding Scheme Designator #42: UMLS\n", + "0008,0102 Coding Scheme Designator #43: SCT\n", + "0008,0102 Coding Scheme Designator #44: RRID\n", + "0008,0102 Coding Scheme Designator #45: SCT\n", + "0008,0102 Coding Scheme Designator #46: SCT\n", + "0008,0102 Coding Scheme Designator #47: UMLS\n", + "0008,0102 Coding Scheme Designator #48: DCM\n", + "0008,0102 Coding Scheme Designator #49: UMLS\n", + "0008,0102 Coding Scheme Designator #50: DCM\n", + "0008,0102 Coding Scheme Designator #51: SCT\n", + "0008,0104 Code Meaning #01: Modifying Equipment\n", + "0008,0104 Code Meaning #02: Microscope slide\n", + "0008,0104 Code Meaning #03: Health status\n", + "0008,0104 Code Meaning #04: Alive\n", + "0008,0104 Code Meaning #05: Rectum\n", + "0008,0104 Code Meaning #06: Neoplasm, Primary\n", + "0008,0104 Code Meaning #07: Specimen Identifier\n", + "0008,0104 Code Meaning #08: Processing type\n", + "0008,0104 Code Meaning #09: Specimen Collection\n", + "0008,0104 Code Meaning #10: Specimen Collection\n", + "0008,0104 Code Meaning #11: Resection\n", + "0008,0104 Code Meaning #12: Specimen Identifier\n", + "0008,0104 Code Meaning #13: Specimen container\n", + "0008,0104 Code Meaning #14: Microscope slide\n", + "0008,0104 Code Meaning #15: Specimen type\n", + "0008,0104 Code Meaning #16: Slide\n", + "0008,0104 Code Meaning #17: Processing type\n", + "0008,0104 Code Meaning #18: Specimen Sampling\n", + "0008,0104 Code Meaning #19: Sampling Method\n", + "0008,0104 Code Meaning #20: Block sectioning\n", + "0008,0104 Code Meaning #21: Parent Specimen Identifier\n", + "0008,0104 Code Meaning #22: Parent specimen type\n", + "0008,0104 Code Meaning #23: Gross specimen\n", + "0008,0104 Code Meaning #24: Specimen Identifier\n", + "0008,0104 Code Meaning #25: Processing type\n", + "0008,0104 Code Meaning #26: Staining\n", + "0008,0104 Code Meaning #27: Channel\n", + "0008,0104 Code Meaning #28: Cycle\n", + "0008,0104 Code Meaning #29: Component investigated\n", + "0008,0104 Code Meaning #30: DNA\n", + "0008,0104 Code Meaning #31: Component investigated\n", + "0008,0104 Code Meaning #32: Tracer\n", + "0008,0104 Code Meaning #33: Fluorophore\n", + "0008,0104 Code Meaning #34: Using Fluorophore\n", + "0008,0104 Code Meaning #35: Bisbenzimide\n", + "0008,0104 Code Meaning #36: Using Fluorophore\n", + "0008,0104 Code Meaning #37: Using substance\n", + "0008,0104 Code Meaning #38: Hoechst 33342\n", + "0008,0104 Code Meaning #39: Staining Technique\n", + "0008,0104 Code Meaning #40: Fluorescent staining\n", + "0008,0104 Code Meaning #41: Manufacturer Name\n", + "0008,0104 Code Meaning #42: Brand Name\n", + "0008,0104 Code Meaning #43: Dilution\n", + "0008,0104 Code Meaning #44: Epifluorescence illumination\n", + "0008,0104 Code Meaning #45: Narrow\n", + "0008,010c Coding Scheme UID #1: 1.2.840.10008.2.16.4\n", + "0008,010c Coding Scheme UID #2: 2.16.840.1.113883.6.1\n", + "0008,010c Coding Scheme UID #3: 2.16.840.1.113883.3.26.1.1\n", + "0008,010c Coding Scheme UID #4: 1.2.840.10008.2.16.9\n", + "0008,010c Coding Scheme UID #5: 2.16.840.1.113883.6.96\n", + "0008,010c Coding Scheme UID #6: 2.16.840.1.113883.6.86\n", + "0008,0112 Coding Scheme Registry #1: HL7\n", + "0008,0112 Coding Scheme Registry #2: HL7\n", + "0008,0112 Coding Scheme Registry #3: HL7\n", + "0008,0112 Coding Scheme Registry #4: HL7\n", + "0008,0112 Coding Scheme Registry #5: HL7\n", + "0008,0115 Coding Scheme Name #1: DICOM Controlled Terminology\n", + "0008,0115 Coding Scheme Name #2: LOINC\n", + "0008,0115 Coding Scheme Name #3: NCI Thesaurus\n", + "0008,0115 Coding Scheme Name #4: PubChem\n", + "0008,0115 Coding Scheme Name #5: SNOMED CT using SNOMED-CT style values\n", + "0008,0115 Coding Scheme Name #6: UMLS codes as CUIs making up the values in a coding system\n", + "0008,0201 Timezone Offset from UTC: +0000\n", + "0008,103e Series Description: t-CyCIF\n", + "0008,1040 Institutional Department Name: Software Development\n", + "0008,1090 Manufacturer's Model Name #1: CyteFinder converted by com.pixelmed.convert.TIFFToDicom\n", + "0008,1090 Manufacturer's Model Name #2: com.pixelmed.convert.TIFFToDicom\n", + "0008,9007 Frame Type: DERIVED\\PRIMARY\\VOLUME\\NONE\n", + "0008,9206 Volumetric Properties: VOLUME\n", + "0009,0010: PixelMed Publishing\n", + "0009,1001: HTAN-HMS/t-CyCIF_Final/CRC10.ome.tif\n", + "0009,1002: 0\n", + "0010,0010 Patient's Name: HTA7_920^\n", + "0010,0020 Patient ID: HTA7_920\n", + "0010,0030 Patient's Birth Date: \n", + "0010,0040 Patient's Sex: F\n", + "0010,2160 Ethnic Group: White\n", + "0012,0010 Clinical Trial Sponsor Name: NCI\n", + "0012,0020 Clinical Trial Protocol ID: HTAN-HMS\n", + "0012,0021 Clinical Trial Protocol Name: \n", + "0012,0030 Clinical Trial Site ID: HTAN-HMS\n", + "0012,0031 Clinical Trial Site Name: Harvard Medical School\n", + "0012,0040 Clinical Trial Subject ID: HTA7_920\n", + "0012,0050 Clinical Trial Time Point ID: Initial Diagnosis\n", + "0012,0060 Clinical Trial Coordinating Center Name: HTAN\n", + "0013,0010: CTP\n", + "0013,1010: HTAN-HMS\n", + "0018,0050 Slice Thickness: .001\n", + "0018,1000 Device Serial Number: 98476aaf1a4ea08f:692b7959:1818bacc246:-7ff3\n", + "0018,1020 Software Version(s) #1: Sat Jun 18 09:29:28 EDT 2022\n", + "0018,1020 Software Version(s) #2: Vers. Sat Jun 18 09:29:28 EDT 2022\n", + "0018,9004 Content Qualification: RESEARCH\n", + "0018,a002 Contribution DateTime: 20220622134924.770+0000\n", + "0018,a003 Contribution Description: TIFF to DICOM conversion\n", + "0020,000d Study Instance UID: 2.25.219049900737444567890964056686598614067\n", + "0020,000e Series Instance UID: 1.3.6.1.4.1.5962.99.1.2343322182.1764456793.1655905763910.4.0\n", + "0020,0010 Study ID: HTA7_920\n", + "0020,0011 Series Number: 1\n", + "0020,0013 Instance Number: 1\n", + "0020,0020 Patient Orientation: \n", + "0020,0052 Frame of Reference UID: 1.3.6.1.4.1.5962.99.1.2343322182.1764456793.1655905763910.7.0\n", + "0020,1040 Position Reference Indicator: UNKNOWN\n", + "0020,9164 Dimension Organization UID #1: 1.3.6.1.4.1.5962.99.1.2343322182.1764456793.1655905763910.15.0\n", + "0020,9164 Dimension Organization UID #2: 1.3.6.1.4.1.5962.99.1.2343322182.1764456793.1655905763910.15.0\n", + "0020,9164 Dimension Organization UID #3: 1.3.6.1.4.1.5962.99.1.2343322182.1764456793.1655905763910.15.0\n", + "0020,9311 Dimension Organization Type: TILED_FULL\n", + "0020,9421 Dimension Description Label #1: Row Position\n", + "0020,9421 Dimension Description Label #2: Column Position\n", + "0022,0001 Light Path Filter Pass-Through Wavelength: 438\n", + "0022,0055 Illumination Wavelength: 395.0\n", + "0028,0002 Samples per pixel: 1\n", + "0028,0004 Photometric Interpretation: MONOCHROME2\n", + "0028,0008 Number of frames: 650\n", + "0028,0010 Rows: 1024\n", + "0028,0011 Columns: 1024\n", + "0028,0030 Pixel Spacing: .000649983750406\\.000649983750406\n", + "0028,0100 Bits Allocated: 16\n", + "0028,0101 Bits Stored: 16\n", + "0028,0102 High Bit: 15\n", + "0028,0103 Pixel Representation: 0\n", + "0028,0301 Burned in Annotation: NO\n", + "0028,0302 Recognizable Visual Features: NO\n", + "0028,1052 Rescale Intercept: 0\n", + "0028,1053 Rescale Slope: 1\n", + "0028,2110 Lossy Image Compression: 00\n", + "0040,0512 Container Identifier: HTA7_920_1000\n", + "0040,0551 Specimen Identifier: HTA7_920_1000\n", + "0040,0554 Specimen UID: 2.25.244655373787807174077922309280360907675\n", + "0040,0600 Specimen Short Description: t-CyCIF\n", + "0040,072a X Offset in Slide Coordinate System: 0\n", + "0040,073a Y Offset in Slide Coordinate System: 0\n", + "0040,a040 Value Type #01: CODE\n", + "0040,a040 Value Type #02: TEXT\n", + "0040,a040 Value Type #03: CODE\n", + "0040,a040 Value Type #04: CODE\n", + "0040,a040 Value Type #05: TEXT\n", + "0040,a040 Value Type #06: CODE\n", + "0040,a040 Value Type #07: CODE\n", + "0040,a040 Value Type #08: CODE\n", + "0040,a040 Value Type #09: CODE\n", + "0040,a040 Value Type #10: TEXT\n", + "0040,a040 Value Type #11: CODE\n", + "0040,a040 Value Type #12: TEXT\n", + "0040,a040 Value Type #13: CODE\n", + "0040,a040 Value Type #14: TEXT\n", + "0040,a040 Value Type #15: TEXT\n", + "0040,a040 Value Type #16: CODE\n", + "0040,a040 Value Type #17: TEXT\n", + "0040,a040 Value Type #18: CODE\n", + "0040,a040 Value Type #19: CODE\n", + "0040,a040 Value Type #20: TEXT\n", + "0040,a040 Value Type #21: CODE\n", + "0040,a040 Value Type #22: CODE\n", + "0040,a040 Value Type #23: TEXT\n", + "0040,a040 Value Type #24: TEXT\n", + "0040,a040 Value Type #25: TEXT\n", + "0040,a160 Text Value #01: HTA7_920_2\n", + "0040,a160 Text Value #02: HTA7_920_1000\n", + "0040,a160 Text Value #03: HTA7_920_2\n", + "0040,a160 Text Value #04: HTA7_920_1000\n", + "0040,a160 Text Value #05: 0\n", + "0040,a160 Text Value #06: 1\n", + "0040,a160 Text Value #07: DNA\n", + "0040,a160 Text Value #08: Hoechst 33342\n", + "0040,a160 Text Value #09: Cell Signaling Technology\n", + "0040,a160 Text Value #10: 4082S\n", + "0040,a160 Text Value #11: 1:20000\n", + "0048,0001 Imaged Volume Width (mm): 16.197596\n", + "0048,0002 Imaged Volume Height (mm): 16.960676\n", + "0048,0003 Imaged Volume Depth (mm): 1.0\n", + "0048,0006 Total Pixel Matrix Columns: 24920\n", + "0048,0007 Total Pixel Matrix Rows: 26094\n", + "0048,0010 Specimen Label in Image: NO\n", + "0048,0011 Focus Method: AUTO\n", + "0048,0012 Extended Depth of Field: NO\n", + "0048,0102 Image Orientation (Slide): 0\\-1\\0\\-1\\0\\0\n", + "0048,0106 Optical Path Identifier: 0\n", + "0048,0107 Optical Path Description: DNA\n", + "0048,0112 Objective Lens Power: 20\n", + "0048,0113 Objective Lens Numerical Aperture: 075\n", + "0048,0302 Number of Optical Paths: 1\n", + "0048,0303 Total Pixel Matrix Focal Planes: 1\n", + "2050,0020 Presentation LUT Shape: IDENTITY\n" + ] + } + ], + "source": [ + "# Use bftools to describe this fluorescence dataset\n", + "\n", + "!./bftools/showinf -nopix -noflat MCMICRO-example-IDC/DICOM/7f154449-615a-41e8-8bdb-96efbe1f11a9.dcm" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "jFOl78-cz6Xp", + "outputId": "8452e5d5-eee4-4a32-b7a5-4e3d2a2a1346" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MCMICRO-example-IDC/DICOM/7f154449-615a-41e8-8bdb-96efbe1f11a9.dcm\n", + "DicomReader initializing MCMICRO-example-IDC/DICOM/7f154449-615a-41e8-8bdb-96efbe1f11a9.dcm\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "Verifying DICOM format\n", + "Reading tags\n", + "Calculating image offsets\n", + "Building file list\n", + "Populating metadata\n", + "[DICOM] -> MCMICRO-example-IDC/OME-TIFF/registration/fluo-cropped.ome.tiff [OME-TIFF]\n", + "\tConverted 25/36 planes (69%)\n", + "\tConverted 36/36 planes (100%)\n", + "[done]\n", + "2.527s elapsed (23.666666+17.805555ms per plane, 876ms overhead)\n" + ] + } + ], + "source": [ + "# Convert fluoresence data using bfconvert - cropping a subset due to its size\n", + "# We will ultimately use this OME-TIFF for MCMICRO analysis input\n", + "# Note we are writing to the registration folder, as we skip the MICMICRO registration step (multi-channel and multi-cycle data in IDC is already registered)\n", + "\n", + "!./bftools/bfconvert -crop 4000,5000,2000,2000 -series 0 -overwrite MCMICRO-example-IDC/DICOM/7f154449-615a-41e8-8bdb-96efbe1f11a9.dcm MCMICRO-example-IDC/OME-TIFF/registration/fluo-cropped.ome.tiff" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "2Gq8ppyRxMVk" + }, + "source": [ + "### Run MCMICRO pipeline" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "U4mnR8t4081C", + "outputId": "49eefb97-312a-46de-e5d9-7aa59ddea48a" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[Knloading nextflow dependencies. It may require a few seconds, please wait .. Downloading nextflow dependencies. It may require a few seconds, please wait .. \n", + " N E X T F L O W\n", + " version 24.04.2 build 5914\n", + " created 29-05-2024 06:19 UTC (02:19 EDT)\n", + " cite doi:10.1038/nbt.3820\n", + " http://nextflow.io\n", + "\n", + "\n", + "Nextflow installation completed. Please note:\n", + "- the executable file `nextflow` has been created in the folder: /Users/erindiel/IDC-Tutorials/notebooks/analysis\n", + "- you may complete the installation by moving it to a directory in your $PATH\n", + "\n", + "\n", + "\u001b[1m\u001b[38;5;232m\u001b[48;5;43m N E X T F L O W \u001b[0;2m ~ \u001b[mversion 24.04.2\u001b[m\n", + "\u001b[K\n", + "Launching\u001b[35m `https://github.com/nextflow-io/hello` \u001b[0;2m[\u001b[0;1;36magitated_wing\u001b[0;2m] DSL2 - \u001b[36mrevision: \u001b[0;36m7588c46ffe [master]\u001b[m\n", + "\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[msayHello -\u001b[K\n", + "\u001b[2A\n", + "\u001b[2mexecutor > local (4)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m7c/5a6760\u001b[0;2m] \u001b[0;2m\u001b[msayHello\u001b[33;2m (\u001b[0;33m3\u001b[2m)\u001b[m\u001b[2m |\u001b[m 4 of 4\u001b[32m ✔\u001b[m\u001b[K\n", + "Hello world!\u001b[K\n", + "\u001b[K\n", + "Ciao world!\u001b[K\n", + "\u001b[K\n", + "Bonjour world!\u001b[K\n", + "\u001b[K\n", + "Hola world!\u001b[K\n", + "\u001b[K\n", + "\n", + "\n", + "Hello from Docker!\n", + "This message shows that your installation appears to be working correctly.\n", + "\n", + "To generate this message, Docker took the following steps:\n", + " 1. The Docker client contacted the Docker daemon.\n", + " 2. The Docker daemon pulled the \"hello-world\" image from the Docker Hub.\n", + " (arm64v8)\n", + " 3. The Docker daemon created a new container from that image which runs the\n", + " executable that produces the output you are currently reading.\n", + " 4. The Docker daemon streamed that output to the Docker client, which sent it\n", + " to your terminal.\n", + "\n", + "To try something more ambitious, you can run an Ubuntu container with:\n", + " $ docker run -it ubuntu bash\n", + "\n", + "Share images, automate workflows, and more with a free Docker ID:\n", + " https://hub.docker.com/\n", + "\n", + "For more examples and ideas, visit:\n", + " https://docs.docker.com/get-started/\n", + "\n" + ] + } + ], + "source": [ + "#Follow installation instructions from https://mcmicro.org/tutorial/installation.html#installation\n", + "\n", + "!curl -s https://get.nextflow.io | bash\n", + "\n", + "# You must install Docker Enginer following instructions here: https://docs.docker.com/engine/install/\n", + "# If the following fails, this indicates an issue with installation.\n", + "# TIP: After installation, open/run Docker desktop, which completes some setup steps.\n", + "\n", + "!./nextflow run hello\n", + "\n", + "!docker run hello-world\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Hq3Tg4rG5o3Z", + "outputId": "ce42ed3d-dc13-4b60-92e8-4f4e3a78e3a1" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Checking labsyspharm/mcmicro ...\n", + " Already-up-to-date - revision: a095a0516f [master]\n", + "\n", + "\u001b[1m\u001b[38;5;232m\u001b[48;5;43m N E X T F L O W \u001b[0;2m ~ \u001b[mversion 24.04.2\u001b[m\n", + "\u001b[K\n", + "Launching\u001b[35m `https://github.com/labsyspharm/mcmicro` \u001b[0;2m[\u001b[0;1;36mhigh_varahamihira\u001b[0;2m] DSL2 - \u001b[36mrevision: \u001b[0;36ma095a0516f [master]\u001b[m\n", + "\u001b[K\n", + "\u001b[2mexecutor > local (7)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m32/b983ca\u001b[0;2m] \u001b[0;2m\u001b[mgetImages\u001b[33;2m (\u001b[0;33m2\u001b[2m)\u001b[m \u001b[2m |\u001b[m 0 of 3\u001b[K\n", + "\u001b[2m[\u001b[0;34m58/13ac84\u001b[0;2m] \u001b[0;2m\u001b[mgetIllumination\u001b[33;2m (\u001b[0;33m3\u001b[2m)\u001b[m\u001b[2m |\u001b[m 0 of 3\u001b[K\n", + "\u001b[2m[\u001b[0;34mfe/c7cbbc\u001b[0;2m] \u001b[0;2m\u001b[mgetMarkers \u001b[2m |\u001b[m 0 of 1\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[mgetParams -\u001b[K\n", + "\u001b[6A\n", + "\u001b[2mexecutor > local (7)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m32/b983ca\u001b[0;2m] \u001b[0;2m\u001b[mgetImages\u001b[33;2m (\u001b[0;33m2\u001b[2m)\u001b[m \u001b[2m |\u001b[m 0 of 3\u001b[K\n", + "\u001b[2m[\u001b[0;34m58/13ac84\u001b[0;2m] \u001b[0;2m\u001b[mgetIllumination\u001b[33;2m (\u001b[0;33m3\u001b[2m)\u001b[m\u001b[2m |\u001b[m 0 of 3\u001b[K\n", + "\u001b[2m[\u001b[0;34mfe/c7cbbc\u001b[0;2m] \u001b[0;2m\u001b[mgetMarkers \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[mgetParams -\u001b[K\n", + "\u001b[6A\n", + "\u001b[2mexecutor > local (7)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m32/b983ca\u001b[0;2m] \u001b[0;2m\u001b[mgetImages\u001b[33;2m (\u001b[0;33m2\u001b[2m)\u001b[m \u001b[2m |\u001b[m 0 of 3\u001b[K\n", + "\u001b[2m[\u001b[0;34md9/17f455\u001b[0;2m] \u001b[0;2m\u001b[mgetIllumination\u001b[33;2m (\u001b[0;33m2\u001b[2m)\u001b[m\u001b[2m |\u001b[m 1 of 3\u001b[K\n", + "\u001b[2m[\u001b[0;34mfe/c7cbbc\u001b[0;2m] \u001b[0;2m\u001b[mgetMarkers \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[mgetParams -\u001b[K\n", + "\u001b[6A\n", + "\u001b[2mexecutor > local (7)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34mcc/dae368\u001b[0;2m] \u001b[0;2m\u001b[mgetImages\u001b[33;2m (\u001b[0;33m3\u001b[2m)\u001b[m \u001b[2m |\u001b[m 1 of 3\u001b[K\n", + "\u001b[2m[\u001b[0;34md9/17f455\u001b[0;2m] \u001b[0;2m\u001b[mgetIllumination\u001b[33;2m (\u001b[0;33m2\u001b[2m)\u001b[m\u001b[2m |\u001b[m 1 of 3\u001b[K\n", + "\u001b[2m[\u001b[0;34mfe/c7cbbc\u001b[0;2m] \u001b[0;2m\u001b[mgetMarkers \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[mgetParams -\u001b[K\n", + "\u001b[6A\n", + "\u001b[2mexecutor > local (7)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m32/b983ca\u001b[0;2m] \u001b[0;2m\u001b[mgetImages\u001b[33;2m (\u001b[0;33m2\u001b[2m)\u001b[m \u001b[2m |\u001b[m 2 of 3\u001b[K\n", + "\u001b[2m[\u001b[0;34md9/17f455\u001b[0;2m] \u001b[0;2m\u001b[mgetIllumination\u001b[33;2m (\u001b[0;33m2\u001b[2m)\u001b[m\u001b[2m |\u001b[m 1 of 3\u001b[K\n", + "\u001b[2m[\u001b[0;34mfe/c7cbbc\u001b[0;2m] \u001b[0;2m\u001b[mgetMarkers \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[mgetParams -\u001b[K\n", + "\u001b[6A\n", + "\u001b[2mexecutor > local (7)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m32/b983ca\u001b[0;2m] \u001b[0;2m\u001b[mgetImages\u001b[33;2m (\u001b[0;33m2\u001b[2m)\u001b[m \u001b[2m |\u001b[m 2 of 3\u001b[K\n", + "\u001b[2m[\u001b[0;34m58/13ac84\u001b[0;2m] \u001b[0;2m\u001b[mgetIllumination\u001b[33;2m (\u001b[0;33m3\u001b[2m)\u001b[m\u001b[2m |\u001b[m 2 of 3\u001b[K\n", + "\u001b[2m[\u001b[0;34mfe/c7cbbc\u001b[0;2m] \u001b[0;2m\u001b[mgetMarkers \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[mgetParams -\u001b[K\n", + "\u001b[6A\n", + "\u001b[2mexecutor > local (7)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m32/b983ca\u001b[0;2m] \u001b[0;2m\u001b[mgetImages\u001b[33;2m (\u001b[0;33m2\u001b[2m)\u001b[m \u001b[2m |\u001b[m 2 of 3\u001b[K\n", + "\u001b[2m[\u001b[0;34mab/195dbe\u001b[0;2m] \u001b[0;2m\u001b[mgetIllumination\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m\u001b[2m |\u001b[m 3 of 3\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34mfe/c7cbbc\u001b[0;2m] \u001b[0;2m\u001b[mgetMarkers \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[mgetParams -\u001b[K\n", + "\u001b[6A\n", + "\u001b[2mexecutor > local (7)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m6f/e57568\u001b[0;2m] \u001b[0;2m\u001b[mgetImages\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 3 of 3\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34mab/195dbe\u001b[0;2m] \u001b[0;2m\u001b[mgetIllumination\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m\u001b[2m |\u001b[m 3 of 3\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34mfe/c7cbbc\u001b[0;2m] \u001b[0;2m\u001b[mgetMarkers \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[mgetParams -\u001b[K\n", + "\u001b[6A\n", + "\u001b[2mexecutor > local (7)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m6f/e57568\u001b[0;2m] \u001b[0;2m\u001b[mgetImages\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 3 of 3\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34mab/195dbe\u001b[0;2m] \u001b[0;2m\u001b[mgetIllumination\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m\u001b[2m |\u001b[m 3 of 3\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34mfe/c7cbbc\u001b[0;2m] \u001b[0;2m\u001b[mgetMarkers \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[mgetParams -\u001b[K\n", + "\n", + "\n", + "\u001b[1m\u001b[38;5;232m\u001b[48;5;43m N E X T F L O W \u001b[0;2m ~ \u001b[mversion 24.04.2\u001b[m\n", + "\u001b[K\n", + "Launching\u001b[35m `https://github.com/labsyspharm/mcmicro` \u001b[0;2m[\u001b[0;1;36magitated_tesla\u001b[0;2m] DSL2 - \u001b[36mrevision: \u001b[0;36ma095a0516f [master]\u001b[m\n", + "\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[millumination -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mregistration:\u001b[mashlar -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mbackground:\u001b[mbacksub -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:\u001b[mcoreograph -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:\u001b[mworker -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:\u001b[ms3seg -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mquantification:\u001b[mmcquant -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdownstream:\u001b[mworker -\u001b[K\n", + "\u001b[11A\n", + "\u001b[2mexecutor > local (1)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[millumination -\u001b[K\n", + "\u001b[2m[\u001b[0;34m8e/6b502b\u001b[0;2m] \u001b[0;2mregistration:\u001b[mashlar\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 0 of 1\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mbackground:\u001b[mbacksub -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:\u001b[mcoreograph -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:\u001b[mworker -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:\u001b[ms3seg -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mquantification:\u001b[mmcquant -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdownstream:\u001b[mworker -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mviz:\u001b[mautominerva -\u001b[K\n", + "\u001b[13A\n", + "\u001b[2mexecutor > local (2)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[millumination -\u001b[K\n", + "\u001b[2m[\u001b[0;34m8e/6b502b\u001b[0;2m] \u001b[0;2mregistration:\u001b[mashlar\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mbackground:\u001b[mbacksub -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:\u001b[mcoreograph -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34mc2/bc0dc3\u001b[0;2m] \u001b[0;2mseg…ntation:\u001b[mworker\u001b[33;2m (\u001b[0;33milastik-1\u001b[2m)\u001b[m\u001b[2m |\u001b[m 0 of 1\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:\u001b[ms3seg -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mquantification:\u001b[mmcquant -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdownstream:\u001b[mworker -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mviz:\u001b[mautominerva -\u001b[K\n", + "\u001b[13A\n", + "\u001b[2mexecutor > local (3)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[millumination -\u001b[K\n", + "\u001b[2m[\u001b[0;34m8e/6b502b\u001b[0;2m] \u001b[0;2mregistration:\u001b[mashlar\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mbackground:\u001b[mbacksub -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:\u001b[mcoreograph -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34mc2/bc0dc3\u001b[0;2m] \u001b[0;2mseg…ntation:\u001b[mworker\u001b[33;2m (\u001b[0;33milastik-1\u001b[2m)\u001b[m\u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m1e/ef613e\u001b[0;2m] \u001b[0;2msegmentation:\u001b[ms3seg\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 0 of 1\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mquantification:\u001b[mmcquant -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdownstream:\u001b[mworker -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mviz:\u001b[mautominerva -\u001b[K\n", + "\u001b[13A\n", + "\u001b[2mexecutor > local (3)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[millumination -\u001b[K\n", + "\u001b[2m[\u001b[0;34m8e/6b502b\u001b[0;2m] \u001b[0;2mregistration:\u001b[mashlar\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mbackground:\u001b[mbacksub -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:\u001b[mcoreograph -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34mc2/bc0dc3\u001b[0;2m] \u001b[0;2mseg…ntation:\u001b[mworker\u001b[33;2m (\u001b[0;33milastik-1\u001b[2m)\u001b[m\u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m1e/ef613e\u001b[0;2m] \u001b[0;2msegmentation:\u001b[ms3seg\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 0 of 1\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mquantification:\u001b[mmcquant -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdownstream:\u001b[mworker -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mviz:\u001b[mautominerva -\u001b[K\n", + "\u001b[13A\n", + "\u001b[2mexecutor > local (4)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[millumination -\u001b[K\n", + "\u001b[2m[\u001b[0;34m8e/6b502b\u001b[0;2m] \u001b[0;2mregistration:\u001b[mashlar\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mbackground:\u001b[mbacksub -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:\u001b[mcoreograph -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34mc2/bc0dc3\u001b[0;2m] \u001b[0;2mseg…ntation:\u001b[mworker\u001b[33;2m (\u001b[0;33milastik-1\u001b[2m)\u001b[m\u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m1e/ef613e\u001b[0;2m] \u001b[0;2msegmentation:\u001b[ms3seg\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m28/a1c98c\u001b[0;2m] \u001b[0;2mquantification:\u001b[mmcquant\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 0 of 1\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdownstream:\u001b[mworker -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mviz:\u001b[mautominerva -\u001b[K\n", + "\u001b[13A\n", + "\u001b[2mexecutor > local (4)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[millumination -\u001b[K\n", + "\u001b[2m[\u001b[0;34m8e/6b502b\u001b[0;2m] \u001b[0;2mregistration:\u001b[mashlar\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mbackground:\u001b[mbacksub -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:\u001b[mcoreograph -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34mc2/bc0dc3\u001b[0;2m] \u001b[0;2mseg…ntation:\u001b[mworker\u001b[33;2m (\u001b[0;33milastik-1\u001b[2m)\u001b[m\u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m1e/ef613e\u001b[0;2m] \u001b[0;2msegmentation:\u001b[ms3seg\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m28/a1c98c\u001b[0;2m] \u001b[0;2mquantification:\u001b[mmcquant\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdownstream:\u001b[mworker -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mviz:\u001b[mautominerva -\u001b[K\n", + "\n" + ] + } + ], + "source": [ + "# Begin with exemplar dataset from MCMICRO to confirm all is runnning as expected\n", + "\n", + "!./nextflow pull labsyspharm/mcmicro\n", + "\n", + "!./nextflow run labsyspharm/mcmicro/exemplar.nf --name exemplar-001 --path exemplar-data\n", + "\n", + "# TIP: users on M1 or newer Mac models having issues with segmentation step may replace segmentation with Ilastik using --segmentation ilastik\n", + "# See https://github.com/labsyspharm/mcmicro/issues/353 and share further issues there.\n", + "\n", + "!./nextflow run labsyspharm/mcmicro --in ./exemplar-data/exemplar-001 --segmentation ilastik" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize the results\n", + "\n", + "# if needed, install the following:\n", + "# !pip install tifffile\n", + "# !pip install matplotlib\n", + "\n", + "from tifffile import imread\n", + "import matplotlib.pyplot as plt\n", + "\n", + "image = imread('exemplar-data/exemplar-001/registration/exemplar-001.ome.tif')\n", + "# cells = imread('exemplar-data/exemplar-001/segmentation/ilastik-exemplar-001/cell.ome.tif')\n", + "nuclei = imread('exemplar-data/exemplar-001/segmentation/ilastik-exemplar-001/nuclei.ome.tif')\n", + "\n", + "plt.imshow(image[0, :, :], 'gray', interpolation='none')\n", + "plt.imshow(nuclei, interpolation='none', alpha=0.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "id": "yRxRsMe_8fLe" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\u001b[1m\u001b[38;5;232m\u001b[48;5;43m N E X T F L O W \u001b[0;2m ~ \u001b[mversion 24.04.2\u001b[m\n", + "\u001b[K\n", + "Launching\u001b[35m `https://github.com/labsyspharm/mcmicro` \u001b[0;2m[\u001b[0;1;36msilly_saha\u001b[0;2m] DSL2 - \u001b[36mrevision: \u001b[0;36ma095a0516f [master]\u001b[m\n", + "\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[millumination -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mregistration:\u001b[mashlar -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mbackground:\u001b[mbacksub -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:\u001b[mcoreograph -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:\u001b[mworker \u001b[2m |\u001b[m 0 of 1\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] 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"\u001b[2m[\u001b[0;34mbb/5aba12\u001b[0;2m] \u001b[0;2mseg…ntation:\u001b[mworker\u001b[33;2m (\u001b[0;33milastik-1\u001b[2m)\u001b[m\u001b[2m |\u001b[m 0 of 1\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:\u001b[ms3seg -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mquantification:\u001b[mmcquant -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdownstream:\u001b[mworker -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mviz:\u001b[mautominerva -\u001b[K\n", + "\u001b[13A\n", + "\u001b[2mexecutor > local (2)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[millumination -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mregistration:\u001b[mashlar -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mbackground:\u001b[mbacksub -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:\u001b[mcoreograph -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34mbb/5aba12\u001b[0;2m] \u001b[0;2mseg…ntation:\u001b[mworker\u001b[33;2m (\u001b[0;33milastik-1\u001b[2m)\u001b[m\u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34mb0/1af104\u001b[0;2m] \u001b[0;2msegmentation:\u001b[ms3seg\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 0 of 1\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mquantification:\u001b[mmcquant -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdownstream:\u001b[mworker -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mviz:\u001b[mautominerva -\u001b[K\n", + "\u001b[13A\n", + "\u001b[2mexecutor > local (2)\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[millumination -\u001b[K\n", + 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"\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2m\u001b[millumination -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mregistration:\u001b[mashlar -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mbackground:\u001b[mbacksub -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:\u001b[mcoreograph -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdearray:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2msegmentation:roadie:\u001b[mrunTask -\u001b[K\n", + "\u001b[2m[\u001b[0;34mbb/5aba12\u001b[0;2m] \u001b[0;2mseg…ntation:\u001b[mworker\u001b[33;2m (\u001b[0;33milastik-1\u001b[2m)\u001b[m\u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34mb0/1af104\u001b[0;2m] \u001b[0;2msegmentation:\u001b[ms3seg\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m6e/0b4a36\u001b[0;2m] \u001b[0;2mquantification:\u001b[mmcquant\u001b[33;2m (\u001b[0;33m1\u001b[2m)\u001b[m \u001b[2m |\u001b[m 1 of 1\u001b[32m ✔\u001b[m\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mdownstream:\u001b[mworker -\u001b[K\n", + "\u001b[2m[\u001b[0;34m- \u001b[0;2m] \u001b[0;2mviz:\u001b[mautominerva -\u001b[K\n", + "\n" + ] + } + ], + "source": [ + "# Next analyze the IDC data - the cropped OME-TIFF will be quicker to complete\n", + "# MCMICRO params.yml and markers.csv files are included in this example\n", + "# Note the excitation and emission wavelengths in markers.csv are approximated based on available metadata\n", + "\n", + "!./nextflow run labsyspharm/mcmicro --in ./MCMICRO-example-IDC/OME-TIFF/\n", + "\n", + "# Ilastik is used in this example, as specified in params.yml\n", + "# Providing your own Ilastik model and tuning parameters will improve segmentation results.\n", + "# See documentation for more information: https://mcmicro.org/parameters/other.html#ilastik" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize the results\n", + "\n", + "# if needed, install the following:\n", + "# !pip install tifffile\n", + "# !pip install matplotlib\n", + "\n", + "from tifffile import imread\n", + "import matplotlib.pyplot as plt\n", + "\n", + "image = imread('MCMICRO-example-IDC/OME-TIFF/registration/fluo-cropped.ome.tiff')\n", + "# cells = imread('MCMICRO-example-IDC/OME-TIFF/segmentation/ilastik-fluo-cropped/cell.ome.tif')\n", + "nuclei = imread('MCMICRO-example-IDC/OME-TIFF/segmentation/ilastik-fluo-cropped/nuclei.ome.tif')\n", + "\n", + "plt.imshow(image[0, :, :], 'gray', interpolation='none')\n", + "plt.imshow(nuclei, interpolation='none', alpha=0.7)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Check out the [QuPath notebook](notebooks/advanced_topics/qupath/QuPath_import.ipynb) to see other analysis options for IDC data." + ] + } + ], + "metadata": { + "colab": { + "collapsed_sections": [ + "B8oOGyL_v-Eq" + ], + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}