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An extensible cryo-EM/ET toolkit for Python.

Project description

acryo

An extensible cryo-EM/ET toolkit for Python. Currently only the subtomogram averaging part is implemented. The purpose of this library is to make data analysis on cryo-EM/ET more available for scientists.

Highlights

  1. Out-of-core and parallel processing by SubtomogramLoader. It uses dask to make full use of CPU.
  2. Algorithms are highly extensible by inheriting BaseAlignmentModel for the most low-level implementation or TomographyInput for extension at more practical-level. You can customize pre-processing, alignment function and easily extend it to support multi-reference alignment.
  3. Concise representation of subtomograms, using numpy.ndarray for positions and scipy.spatial.transform.Rotation for orientation.
  4. Tomogram simulation using TomogramSimulator.

Contribution

Contribution is very welcome!

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