===============
PatchView
===============
.. image:: https://img.shields.io/pypi/v/patchview.svg
:target: https://pypi.python.org/pypi/patchview
.. image:: https://img.shields.io/badge/python-3.8%2B-blue
:target: https://www.python.org/downloads/release/python
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.. image:: https://readthedocs.org/projects/patchview/badge/?version=latest
:target: https://patchview.readthedocs.io/en/latest/?badge=latest
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.. image:: https://joss.theoj.org/papers/10.21105/joss.04706/status.svg
:target: https://doi.org/10.21105/joss.04706
.. image:: https://img.shields.io/pypi/dm/patchview?label=pypi%20downloads
.. image:: docs/resources/images/patchview_ads.png
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PatchView perform data analysis and visualization on multi channel whole-cell recording (multi-patch) data, including firing pattern analysis, event analysis,
synaptic connection detection, morphological analysis and more.
* Free software: BSD 3-Clause license
* Documentation: https://patchview.readthedocs.io.
Features
--------
PatchView integrates multiple open-source tools (see credit page) and wrap them using an intuitive graphic user interface (GUI).
Thus users can perform most analysis quickly for the data collected in a typical patch-clamp experiment without installing Python and
these tools or writing any Python scripts.
* Importing both Heka data and Axon Instruments data. Exporting to Python pickle file or NWB (Neurodata Without Borders) file format.
* Visualizing single and multiple traces with zoom, pan operations.
* Automatically sorting experiments data according to predefined labels.
* Performing analysis on intrinsic membrane properties, action potential detection, firing pattern analysis.
* Synaptic connection analysis.
* Visualizing and quantification of neuron's morphological reconstruction from Neurolucida
Citation
---------
If you find our work useful for your research, please cite:
Hu et al., (2022). PatchView: A Python Package for Patch-clamp Data Analysis and Visualization. Journal of Open Source Software, 7(78), 4706, https://doi.org/10.21105/joss.04706
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