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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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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. |
format | Online Article Text |
id | pubmed-10197560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
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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