A collection of Python modules and command-line utilities for electron microscopy of biological samples.
Documentation for the programs can be found in their usage text, comments in code, and in the Wiki of this repository.
The entire collection is licensed under the terms of the GNU Public License, version 3 (GPLv3).
Please cite the pyem DOI: 10.5281/zenodo.3576630.
For example, the formatting for a Nature journal is:
Asarnow, D., Palovcak, E., Cheng, Y. UCSF pyem v0.5. Zenodo https://doi.org/10.5281/zenodo.3576630 (2019)
Install pyem to any conda environment (Python >= 3.9) from conda-forge:
conda install -c conda-forge pyem
I recommend using miniforge (and mamba), in which case the channel argument should be dropped.
For development pyem can be installed with an egg-link and adding pyem.cli programs to the $PATH:
mamba create -n pyem python=3.11
mamba activate pyem
mamba install numba numpy scipy matplotlib seaborn pandas pathos pyfftw healpy natsort starfile ipython
git clone https://github.com/asarnow/pyem.git
cd pyem
pip install --no-dependencies -e .
export PATH=$(realpath pyem/cli):$PATH
The most popular feature of pyem is exporting particle metadata from cryoSPARC. Detailed instructions can be found in the project wiki.
The TL;DR for using Relion Class3D is that you will mirror the particle stacks in your Relion project, and use
csparc2star.py Px/Jy/last_iter_particles.cs Px/Jy/passthrouh_particles.cs Px_Jy_particles.star --inverty
to create a particle data file.
(C) 2016-2024 Daniel Asarnow