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ClearMap

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ClearMap is a toolbox for the analysis and registration of volumetric data from cleared tissues.

ClearMap is targeted towards large lightsheet volumetric imaging data of iDISCO+ cleared mouse brains samples, their registration to the Allen brain atlas, volumetric image processing and statistical analysis.

The method is fully described in this 2016 Cell paper. For further details visit the iDISCO website_ and the ClearMap documentation.

💣 Note 💣

This is ClearMap 1.0.

ClearMap 2.0 with WobblyStitcher and TubeMap for our 2020 Cell paper can be found under

ClearMap2.

Installation

Install ClearMap by cloning it form github

$ git clone https://github.com/ChristophKirst/ClearMap.git

See GIT.md for basic help with git.

If you want to register data to reference images via elastix or classify pixels via ilastik configure the /ClearMap/Settings.py file.

You will most likely also need to install several python packages e.g. via pip or apt-get.

See the documentation for more details.

Additional files for mouse brain registration can be found on the iDISCO website.

Quickstart

Copyright

(c) 2016 Christoph Kirst
The Rockefeller University, 
ckirst@rockefeller.edu

License

GPLv3, see LICENSE.txt for details.

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ClearMap is a python toolbox for the analysis and registration of volumetric data from cleared tissues.

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