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Processing Codes for 4D-BioSTEM Project in LBEM | ||
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This repository presents the codes used in the 4D-BioSTEM project. Details of the individual projects and publications are found in their corresponding notebooks. | ||
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## Low-dose cryo-electron ptychography of proteins at sub-nanometer resolution | ||
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This repository contains the `Phi92_Notebook.ipynb`, which is designed to perform the data analysis as described in our recent publication "Low-Dose Cryo-Electron Ptychography of Proteins at Sub-Nanometer Resolution." The notebook includes detailed steps for the ptychographic reconstruction and analysis of the 4D-STEM data of the Phi92 bacteriophage. | ||
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### Prerequisites | ||
Ensure you have the following installed: | ||
- Python 3.8+ | ||
- Jupyter Notebook or JupyterLab | ||
- Required Python libraries: `numpy`, `scipy`, `matplotlib`, `py4DSTEM` | ||
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py4DSTEM is an open-source software, and installation details can be found on its [GitHub page](https://github.com/py4dstem/py4DSTEM). | ||
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### Data Access | ||
The example 4D-STEM dataset for this notebook can be accessed at [Dataset link](<DatasetLink>). Additional datasets of Apoferritin, Phi92 bacteriophage, and Tobacco Mosaic Virus are available in the Electron Microscopy Public Image Archive (EMPIAR) with the accession code EMPIAR-XXX. | ||
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### Citation | ||
If you use this code in your research, please cite our paper: | ||
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Küçükoğlu, B., Mohammed, I., Guerrero-Ferreira, R. C., et al. (2024). Low-Dose Cryo-Electron Ptychography of Proteins at Sub-Nanometer Resolution. bioRxiv. [DOI link](https://doi.org/10.1101/2024.02.12.579607) | ||
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### Contact | ||
For support, please contact Henning Stahlberg at [email protected] or Berk Kucukoglu at [email protected] |