Plugin to use motioncorr programs within the Scipion framework
Project description
# Motioncorr plugin
This plugin allows to use motioncor2 program within the Scipion framework.
Motioncor2 is a GPU-accelerated program for correction of electron beam-induced sample motion. It is developed by [Shawn Zheng](http://msg.ucsf.edu/em/software/motioncor2.html).
![build status](http://scipion-test.cnb.csic.es:9980/badges/motioncorr_devel.svg "Build status")
## Installation
You will need to use [2.0](https://github.com/I2PC/scipion/releases/tag/v2.0) version of Scipion to be able to run these protocols. To install the plugin, you have two options:
a) Stable version
```
scipion installp -p scipion-em-motioncorr
```
b) Developer's version
* download repository
```
git clone https://github.com/scipion-em/scipion-em-motioncorr.git
```
* install
```
scipion installp -p path_to_scipion-em-motioncorr --devel
```
Motioncor2 binaries will be installed automatically with the plugin, but you can also link an existing installation.
Default installation path assumed is `software/em/motioncor2-1.2.1`, if you want to change it, set *MOTIONCOR2_HOME* in `scipion.conf` file to the folder where the Motioncor2 is installed. Depending on your CUDA version you might want to change the default binary from `MotionCor2_1.2.1-Cuda80` to a different one by explicitly setting *MOTIONCOR2* variable. If you need to use CUDA different from the one used during Scipion installation (defined by CUDA_LIB), you can add *MOTIONCOR2_CUDA_LIB* variable to the config file. Various binaries can be downloaded from the official UCSF website.
To check the installation, simply run the following Scipion test: `scipion test motioncorr.tests.test_protocols_motioncor2.TestMotioncor2AlignMovies`
## Supported versions of Motioncor2
1.0.2, 1.0.5, 1.1.0, 1.2.1
## Protocols
* [movie alignment](ProtMotionCorr)
## 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).
This plugin allows to use motioncor2 program within the Scipion framework.
Motioncor2 is a GPU-accelerated program for correction of electron beam-induced sample motion. It is developed by [Shawn Zheng](http://msg.ucsf.edu/em/software/motioncor2.html).
![build status](http://scipion-test.cnb.csic.es:9980/badges/motioncorr_devel.svg "Build status")
## Installation
You will need to use [2.0](https://github.com/I2PC/scipion/releases/tag/v2.0) version of Scipion to be able to run these protocols. To install the plugin, you have two options:
a) Stable version
```
scipion installp -p scipion-em-motioncorr
```
b) Developer's version
* download repository
```
git clone https://github.com/scipion-em/scipion-em-motioncorr.git
```
* install
```
scipion installp -p path_to_scipion-em-motioncorr --devel
```
Motioncor2 binaries will be installed automatically with the plugin, but you can also link an existing installation.
Default installation path assumed is `software/em/motioncor2-1.2.1`, if you want to change it, set *MOTIONCOR2_HOME* in `scipion.conf` file to the folder where the Motioncor2 is installed. Depending on your CUDA version you might want to change the default binary from `MotionCor2_1.2.1-Cuda80` to a different one by explicitly setting *MOTIONCOR2* variable. If you need to use CUDA different from the one used during Scipion installation (defined by CUDA_LIB), you can add *MOTIONCOR2_CUDA_LIB* variable to the config file. Various binaries can be downloaded from the official UCSF website.
To check the installation, simply run the following Scipion test: `scipion test motioncorr.tests.test_protocols_motioncor2.TestMotioncor2AlignMovies`
## Supported versions of Motioncor2
1.0.2, 1.0.5, 1.1.0, 1.2.1
## Protocols
* [movie alignment](ProtMotionCorr)
## 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).
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