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I am getting cell segmentations that look pretty bad, and I think it might be because of how I am preparing the videos. Screenshots of the cell segmentations on the raw bigTIFF video and the preprocessed (downsampled 4x, turbo-reg'd, dfof) video are below:
Raw:
Pre-processed
I think the problem might be how I am preparing the bigTIFF video. The video is prepared from TIF images using the following script:
import cv2
import os
import numpy as np
from tqdm import tqdm
from tifffile import *
def tif_to_video(input_path, output_filename):
# Define the location of the TIF files
dir_path = f'{input_path}'
# List of TIF files
tif_files = [f for f in os.listdir(dir_path) if f.endswith('.TIF')]
# Sort image filenames by number following 'p' in filename
framenums = []
for tif_file in tif_files:
p_idx = tif_file.find('p')
underscore_idx = tif_file[p_idx:].find('_')
framenum = tif_file[p_idx+1:p_idx+underscore_idx]
framenums.append(int(framenum))
# order filenames in a list
tif_files = [tif_file for _, tif_file in sorted(zip(framenums, tif_files))]
### bigTIFF ###
output_file = f'{output_filename}.tif'
arr_list = []
# Iterate over the TIF files, import and add each TIF frame to arr_list
for i, tif_file in tqdm(enumerate(tif_files)):
img = cv2.imread(os.path.join(dir_path, tif_file), 0)
img = img[...,None] # add third dimension (i.e., frame)
arr_list.append(img)
# concatenate frames into numpy array
tiff_arr = np.concatenate(arr_list, axis=2)
# export numpy array in bigTIFF format at 20 FPS
with TiffWriter(output_file, bigtiff=True) as tif:
for frame in np.transpose(tiff_arr,(2,0,1)):
tif.write(frame, metadata={'fps':20.0}, compression='JPEG')
Any help with this is greatly appreciated. Thanks in advance!
The text was updated successfully, but these errors were encountered:
Would you be able to send me a folder with a subset of the raw TIF files? Also, what region and indicator/sensor are you imaging? That'll help me get a sense for what it should look like and anything that might need to be changed.
I can also get back with a line or two of code to load and save TIFF file series as a HDF5 using ciatah functions if that helps.
Would you be able to send me a folder with a subset of the raw TIF files? Also, what region and indicator/sensor are you imaging? That'll help me get a sense for what it should look like and anything that might need to be changed.
Just emailed you a tar.gz of the first 100 frames because it was too big to attach here. The indicator is gcamp6f, and the data are from tumor spheroids, not in the brain.
I can also get back with a line or two of code to load and save TIFF file series as a HDF5 using ciatah functions if that helps.
Would definitely appreciate you sending this! Thank you!
I am getting cell segmentations that look pretty bad, and I think it might be because of how I am preparing the videos. Screenshots of the cell segmentations on the raw bigTIFF video and the preprocessed (downsampled 4x, turbo-reg'd, dfof) video are below:
Raw:
Pre-processed
I think the problem might be how I am preparing the bigTIFF video. The video is prepared from TIF images using the following script:
Any help with this is greatly appreciated. Thanks in advance!
The text was updated successfully, but these errors were encountered: