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Motioncorr plugin

This plugin allows to use motioncor3 program within the Scipion framework.

Motioncor3 is a GPU-accelerated program for correction of electron beam-induced sample motion. It is developed by Shawn Zheng.

PyPI release License Supported Python versions SonarCloud quality gate Downloads

IMPORTANT!

  1. If you have imported movies with a gain file in DM4 format, you need to flip the gain reference upside-down in the motioncor protocol! (see details)

  2. When importing EER movies, you should specify dose per single EER frame during import step.

  3. When importing EER tilt-series movies, you should specify dose per tilt during import step. It is not relevant for motion-correction (no dose-weighting is done here), but will be used later on.

  4. If you are processing EER movies and providing *.gain reference file camera defects will be automatically extracted from the gain file header and converted to Motioncor format. This step is omitted if you provide a defects file yourself.

Installation

You will need to use 3.0+ version of Scipion to be able to run these protocols. To install the plugin, you have two options:

  1. Stable version

scipion installp -p scipion-em-motioncorr
  1. Developer’s version

    • download repository

    git clone -b devel https://github.com/scipion-em/scipion-em-motioncorr.git
    • install

    scipion installp -p /path/to/scipion-em-motioncorr --devel

Important: Starting from plugin v3.15, the config variables have been renamed. See: scipion3 config -p motioncorr

  • Motioncor binaries will be installed automatically with the plugin, but you can also link an existing installation.

  • Default installation path assumed is software/em/motioncor3-1.2.4, if you want to change it, set MOTIONCOR_HOME in scipion.conf file to the folder where the Motioncor3 is installed.

  • Depending on your CUDA version this plugin will guess the right default binary from MotionCor3_1.2.4_CudaXY_13-05-2026 (X is for cuda major version, Y for the minor). You can always set a different one by explicitly setting MOTIONCOR_BIN variable.

  • If you need to use CUDA different from the one used during Scipion installation (defined by CUDA_LIB), you can add MOTIONCOR_CUDA_LIB variable to the config file. Various binaries can be downloaded from the official UCSF website.

For an automatically updated installation of motioncor binaries, do not define neither MOTIONCOR_HOME nor MOTIONCOR_BIN.

To check the installation, simply run the following Scipion tests:

scipion test motioncorr.tests.test_protocols_motioncor.TestMotioncorAlignMovies
scipion test motioncorr.tests.test_protocols_tomo.TestMotioncorTiltSeriesAlignMovies

Licensing

Motioncor3 is provided under BSD-3-Clause license

Supported versions

  • motioncor3 1.2.4

Protocols

  • movie alignment

  • align tilt-series movies

References

  1. Shawn Q Zheng, Eugene Palovcak, Jean-Paul Armache, Kliment A Verba, Yifan Cheng & David A Agard. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nature Methods volume 14, pages 331–332 (2017).

Metadata

Release files for scipion-em-motioncorr 4.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for scipion-em-motioncorr 4.0.1
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Built distribution (wheel)

Table of built distributions (wheels) for scipion-em-motioncorr 4.0.1
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scipion_em_motioncorr-4.0.1-py3-none-any.whl Python 3 none any Details

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