Key result
Cardio PyMEA offers a free open-source Python app to analyze cardiomyocyte microelectrode array data.
Why the study?
Open source analytical software for cardiomyocyte electrophysiological data provides new functionalities to complement closed-source, proprietary tools.
Cardio PyMEA provides an accessible, open-source tool for analyzing electrophysiological data from cardiomyocyte cultures.
May enhance accessibility of cardiomyocyte MEA analysis; leaves open validation for wider research adoption.
Open source analytical software for the analysis of electrophysiological cardiomyocyte data offers a variety of new functionalities to complement closed-source, proprietary tools. Here, we present the Cardio PyMEA application, a free, modifiable, and open source program for the analysis of microelectrode array (MEA) data obtained from cardiomyocyte cultures. Cardio PyMEA was written entirely in Python 3 to provide an accessible, integrated workflow that possesses a user-friendly graphical user interface (GUI) written in PyQt5 to allow for performant, cross-platform utilization. This application makes use of object-oriented programming (OOP) principles to facilitate the relatively straightforward incorporation of custom functionalities, e.g. power law analysis, that suit the needs of the user. Cardio PyMEA is available as an open source application under the terms of the GNU General Public License (GPL). The source code for Cardio PyMEA can be downloaded from Github at the following repository: https://github.com/csdunhamUC/cardio_pymea .
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Dunham et al. (2022) studied Cardiomyocyte microelectrode array analysis. Cardio PyMEA application was evaluated. Cardio PyMEA is a free, open-source Python application with a user-friendly GUI designed for the analysis of microelectrode array data from cardiomyocyte cultures.
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