A collection
Project description
CalSciPy
This python packages contains a variety of useful methods for handling, processing, and visualizing calcium imaging data. It's intended to be a collection of useful, well-documented functions often used in boilerplate code alongside software packages such as Caiman, SIMA, and Suite2P.
Highlights
- Assign unique colormaps to subsets of ROIs to generate rich, informative videos
- Perona-Malik diffusion for edge-preserving denoising
- Methods for handling Bruker's PrairieView data
- Interactive visualization
Installation
pip install CalSciPy or pip install CalSciPy-<subpackage>
Subpackages
- Bruker
- Coloring
- Event Processing
- Input/Output (I/O)
- Image Processing
- Interactive Visuals
- Reorganization
- Signal Processing
- Static Visuals
Documentation
Hosted at ReadtheDocs. Available locally as HTML, LATEX and PDF.
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