Cardio PyMEA: A user-friendly, open-source Python application for cardiomyocyte microelectrode array analysis
Cardio PyMEA: A user-friendly, open-source Python application for cardiomyocyte microelectrode array analysis
Abstract 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.
Mackenzie Madelynn E.、Kim Alexis R.、Gimzewski James K.、Dunham Christopher S.、Stieg Adam Z.、Nakano Atsushi、Nakano Haruko
Department of Microbiology, Immunology & Molecular Genetics, University of CaliforniaDepartment of Chemistry and Biochemistry, University of CaliforniaDepartment of Chemistry and Biochemistry, University of California||California NanoSystems Institute, University of California||International Center for Materials Nanoarchitectonics (MANA), National Institute of Materials ScienceDepartment of Chemistry and Biochemistry, University of CaliforniaCalifornia NanoSystems Institute, University of California||International Center for Materials Nanoarchitectonics (MANA), National Institute of Materials ScienceDepartment of Molecular, Cell and Developmental Biology, University of California||Molecular Biology Institute, University of California||Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California||Division of Cardiology, Department of Medicine, University of California||Department of Cell Physiology, The Jikei UniversityDepartment of Molecular, Cell and Developmental Biology, University of California
生物科学研究方法、生物科学研究技术生物物理学计算技术、计算机技术
Mackenzie Madelynn E.,Kim Alexis R.,Gimzewski James K.,Dunham Christopher S.,Stieg Adam Z.,Nakano Atsushi,Nakano Haruko.Cardio PyMEA: A user-friendly, open-source Python application for cardiomyocyte microelectrode array analysis[EB/OL].(2025-03-28)[2025-05-08].https://www.biorxiv.org/content/10.1101/2022.03.25.485780.点此复制
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