==============
AreTomo plugin
This plugin provides a wrapper for AreTomo <https://github.com/czimaginginstitute/AreTomo2>
_ program.
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:target: https://pypi.python.org/pypi/scipion-em-aretomo
:alt: PyPI release
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:target: https://pypi.python.org/pypi/scipion-em-aretomo
:alt: License
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:target: https://pypi.python.org/pypi/scipion-em-aretomo
:alt: Supported Python versions
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:alt: Downloads
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:
a) Stable version
.. code-block::
scipion installp -p scipion-em-aretomo
b) Developer's version
* download repository
.. code-block::
git clone -b devel https://github.com/scipion-em/scipion-em-aretomo.git
* install
.. code-block::
scipion installp -p /path/to/scipion-em-aretomo --devel
- AreTomo binaries will be installed automatically with the plugin, but you can also link an existing installation.
- Default installation path assumed is
software/em/aretomo2-1.1.3
, if you want to change it, set ARETOMO_HOME in scipion.conf
file to the folder where the AreTomo is installed. - Depending on your CUDA version this plugin will guess the right default binary from
AreTomo2_1.1.3_CudaXY
(X is for cuda major version, Y for the minor). You can always set a different one by explicitly setting ARETOMO_BIN variable. - If you need to use CUDA different from the one used during Scipion installation (defined by CUDA_LIB), you can add ARETOMO_CUDA_LIB variable to the config file. Various binaries can be downloaded from the official website.
To check the installation, simply run the following Scipion test:
scipion test aretomo.tests.test_protocols_aretomo
Licensing
AreTomo2 binaries are available under BSD-3 license
Supported versions
aretomo2: 1.1.3
Protocols
* tilt-series align and reconstruct
References
* AreTomo: An integrated software package for automated marker-free, motion-corrected cryo-electron tomographic alignment and reconstruction. Shawn Zheng, Georg Wolff, Garrett Greenan, Zhen Chen, Frank G. A. Faas, Montserrat Bárcena, Abraham J. Koster, Yifan Cheng, David Agard. JSB vol. 6, 2022, 100068.