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Mesmerize is a platform for the annotation and analysis of neuronal calcium imaging data. Mesmerize encompasses the entire process of calcium imaging analysis from raw data to interactive visualizations. Mesmerize allows you to create FAIR-functionally linked datasets that are easy to share. The analysis tools are applicable for a broad range of biological experiments and come with GUI interfaces that can be used without requiring a programming background.

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After installation simply call ``mesmerize`` from inside the virtual environment to launch it.

If you're unfamiliar with virtual environments, see the docs for more detailed instructions on all operating systems:
http://mesmerizelab.org/user_guides/installation.html
https://mesmerize.readthedocs.io/en/master/user_guides/installation.html

#### Caiman
In order to use [CaImAn](https://github.com/flatironinstitute/CaImAn) features you will need to have [CaImAn](https://github.com/flatironinstitute/CaImAn) installed into your environment. See the Mesmerize installation instructions linked above for more details: https://mesmerize.readthedocs.io/en/master/user_guides/installation.html
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tslearn is used for KShape clustering, cross-correlation analysis, and some of the flowchart nodes

## Documentation
Documentation is available here: [http://www.mesmerizelab.org/](http://www.mesmerizelab.org/)
Documentation is available here: [https://mesmerize.readthedocs.io/en/master/](https://mesmerize.readthedocs.io/en/master/)

## Questions/Discussions

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