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 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.