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SanPy: A whole-cell electrophysiology analysis pipeline

The analysis of action potentials and other membrane voltage fluctuations provide a powerful approach for interrogating the function of excitable cells. Yet, a major bottleneck in the interpretation of this critical data is the lack of intuitive, agreed upon software tools for its analysis. Here, we...

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Autores principales: Guarina, Laura, Le, Johnson Tran, Griffith, Theanne N, Santana, Luis Fernando, Cudmore, Robert H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197560/
https://www.ncbi.nlm.nih.gov/pubmed/37214972
http://dx.doi.org/10.1101/2023.05.06.539660
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author Guarina, Laura
Le, Johnson Tran
Griffith, Theanne N
Santana, Luis Fernando
Cudmore, Robert H
author_facet Guarina, Laura
Le, Johnson Tran
Griffith, Theanne N
Santana, Luis Fernando
Cudmore, Robert H
author_sort Guarina, Laura
collection PubMed
description The analysis of action potentials and other membrane voltage fluctuations provide a powerful approach for interrogating the function of excitable cells. Yet, a major bottleneck in the interpretation of this critical data is the lack of intuitive, agreed upon software tools for its analysis. Here, we present SanPy, a Python-based open-source and freely available software pipeline for the analysis and exploration of whole-cell current-clamp recordings. SanPy provides a robust computational engine with an application programming interface. Using this, we have developed a cross-platform graphical user interface that does not require programming. SanPy is designed to extract common parameters from action potentials including threshold time and voltage, peak, half-width, and interval statistics. In addition, several cardiac parameters are measured including the early diastolic duration and rate. SanPy is built to be fully extensible by providing a plugin architecture for the addition of new file loaders, analysis, and visualizations. A key feature of SanPy is its focus on quality control and data exploration. In the desktop interface, all plots of the data and analysis are linked allowing simultaneous data visualization from different dimensions with the goal of obtaining ground truth analysis. We provide documentation for all aspects of SanPy including several use cases and examples. To test SanPy, we have performed analysis on current-clamp recordings from heart and brain cells. Taken together, SanPy is a powerful tool for whole-cell current-clamp analysis and lays the foundation for future extension by the scientific community.
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spelling pubmed-101975602023-05-20 SanPy: A whole-cell electrophysiology analysis pipeline Guarina, Laura Le, Johnson Tran Griffith, Theanne N Santana, Luis Fernando Cudmore, Robert H bioRxiv Article The analysis of action potentials and other membrane voltage fluctuations provide a powerful approach for interrogating the function of excitable cells. Yet, a major bottleneck in the interpretation of this critical data is the lack of intuitive, agreed upon software tools for its analysis. Here, we present SanPy, a Python-based open-source and freely available software pipeline for the analysis and exploration of whole-cell current-clamp recordings. SanPy provides a robust computational engine with an application programming interface. Using this, we have developed a cross-platform graphical user interface that does not require programming. SanPy is designed to extract common parameters from action potentials including threshold time and voltage, peak, half-width, and interval statistics. In addition, several cardiac parameters are measured including the early diastolic duration and rate. SanPy is built to be fully extensible by providing a plugin architecture for the addition of new file loaders, analysis, and visualizations. A key feature of SanPy is its focus on quality control and data exploration. In the desktop interface, all plots of the data and analysis are linked allowing simultaneous data visualization from different dimensions with the goal of obtaining ground truth analysis. We provide documentation for all aspects of SanPy including several use cases and examples. To test SanPy, we have performed analysis on current-clamp recordings from heart and brain cells. Taken together, SanPy is a powerful tool for whole-cell current-clamp analysis and lays the foundation for future extension by the scientific community. Cold Spring Harbor Laboratory 2023-09-15 /pmc/articles/PMC10197560/ /pubmed/37214972 http://dx.doi.org/10.1101/2023.05.06.539660 Text en https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Guarina, Laura
Le, Johnson Tran
Griffith, Theanne N
Santana, Luis Fernando
Cudmore, Robert H
SanPy: A whole-cell electrophysiology analysis pipeline
title SanPy: A whole-cell electrophysiology analysis pipeline
title_full SanPy: A whole-cell electrophysiology analysis pipeline
title_fullStr SanPy: A whole-cell electrophysiology analysis pipeline
title_full_unstemmed SanPy: A whole-cell electrophysiology analysis pipeline
title_short SanPy: A whole-cell electrophysiology analysis pipeline
title_sort sanpy: a whole-cell electrophysiology analysis pipeline
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197560/
https://www.ncbi.nlm.nih.gov/pubmed/37214972
http://dx.doi.org/10.1101/2023.05.06.539660
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