Cardio PyMEA: A user-friendly, open-source Python application for cardiomyocyte microelectrode array analysis

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 microelec...

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Vydané v:PloS one Ročník 17; číslo 5; s. e0266647
Hlavní autori: Dunham, Christopher S., Mackenzie, Madelynn E., Nakano, Haruko, Kim, Alexis R., Nakano, Atsushi, Stieg, Adam Z., Gimzewski, James K.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Public Library of Science 26.05.2022
Public Library of Science (PLoS)
Predmet:
Arrays
Biology and Life Sciences
Cardiomyocytes
Cell culture
Computer and Information Sciences
Dictionaries
Electrodes
Engineering and Technology
Freeware
Graphical user interface
Health aspects
Heart cells
Measurement
Medical research
Medicine and Health Sciences
Microelectrodes
Mobile applications
Object oriented programming
Open source software
Pacemakers
Physical Sciences
Power law
Programming languages
Science Policy
Software
Source code
Source programs
Stability analysis
Stem cells
User interface
Velocity
Workflow
Japan
ISSN:1932-6203, 1932-6203
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Shrnutí: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. Major software capabilities include: beat detection; pacemaker origin estimation; beat amplitude and interval; local activation time, upstroke velocity, and conduction velocity; analysis of cardiomyocyte property-distance relationships; and robust power law analysis of pacemaker spatiotemporal instability. 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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Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0266647