PyRes

Python Package to calculate image resolution using decorrelation analysis

How to cite us

Li, R., Della Maggiora, G., Andriasyan, V., Petkidis, A., Yushkevich, A., Deshpande, N., ... & Yakimovich, A. (2024). Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model. Communications Engineering, 3(1), 186.

@article{li2024microscopy,
  title={Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model},
  author={Li, Rui and Della Maggiora, Gabriel and Andriasyan, Vardan and Petkidis, Anthony and Yushkevich, Artsemi and Deshpande, Nikita and Kudryashev, Mikhail and Yakimovich, Artur},
  journal={Communications Engineering},
  volume={3},
  number={1},
  pages={186},
  year={2024},
  publisher={Nature Publishing Group UK London}
}

Installation

pip install https://github.com/casus/pyres.git

To try out the examples and understand the usage of PyRes

Clone the repository and run the following commands

git clone https://github.com/casus/pyres.git

cd examples

python main_imageDecorr.py

Note:

Please check for the updated version of the package before using it. The package is still under development and the API might change in the future.

About the package

This is a python package to calculate the resolution of an image using decorrelation analysis. The package is based on the paper at https://www.nature.com/articles/s41592-019-0515-7 and the code is based on the MATLAB implementation of the paper by https://github.com/Ades91/ImDecorr