Metadata-Version: 2.1
Name: CalSciPy
Version: 0.1.0
Summary: A collection
Author: Darik A. O'Neil
Maintainer: Darik A. O'Neil
License: MIT License
        
        Copyright (c) 2023 Darik A O’Neil
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
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        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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Keywords: CalSciPy,Calcium Imaging
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Requires-Python: <4,>=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: LICENSE_PYTHON.txt

## CalSciPy       
[![GitHub license](https://img.shields.io/github/license/Naereen/StrapDown.js.svg)](https://github.com/darikoneil/CalSciPy/blob/master/LICENSE)
[![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://GitHub.com/darikoneil/CalSciPy/graphs/commit-activity)
[![Documentation Status](https://readthedocs.org/projects/calscipy/badge/?version=latest)](https://calscipy.readthedocs.io/en/latest/?badge=latest)
[![PyPi](https://badgen.net/badge/icon/pypi?icon=pypi&label)](https://pypi.org/project/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](https://github.com/flatironinstitute/CaImAn), [SIMA](https://github.com/losonczylab/sima), and [Suite2P](https://github.com/MouseLand/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](https://calscipy.readthedocs.io/en/latest/index.html#).
Available locally as [HTML](https://github.com/darikoneil/CalSciPy/tree/master/docs/build/html), [LATEX](https://github.com/darikoneil/CalSciPy/tree/master/docs/build/latex) and [PDF](https://github.com/darikoneil/CalSciPy/blob/master/docs/build/pdf/calscipy.pdf).

