=============== PatchView

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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 (Both ABF1 and ABF2). 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

For Windows user

Download zip file from latest release <https://github.com/ZeitgeberH/patchview/releases>_. Unzip it, double click Patchview excutable file.

To install PatchView from PyPI

It is recommended to install Patchview in an virtual enviroment with Python3.10 (Python version >3.10 is not compatible with PySide2, which Patchview currently use) After activating your virtual environment, run this command in your terminal:

.. code-block:: bash

    pip install git+https://github.com/ZeitgeberH/NeuroM@patchview#egg=NeuroM git+https://github.com/ZeitgeberH/dictdiffer#egg=dictdiffer git+https://github.com/jeremysanders/pyemf3#egg=pyemf3
    pip --no-cache-dir install patchview

More details or documentation for installation from source, please refer to the Installation <https://patchview.readthedocs.io/en/latest/installation.html>_ page.

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