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Electrophysiological Analysis of human Pluripotent Stem Cell-derived Cardiomyocytes (hPSC-CMs) Using Multi-electrode Arrays (MEAs)
Published on: May 12, 2017
Microelectrode arrays: a new tool to measure embryonic heart activity
Michael Reppel1, Frank Pillekamp, Zhong Ju Lu
1Institute of Neurophysiology, University of Cologne, Robert-Kochstr. 39, D-50931-Cologne, Germany.
Analyzing cardiac tissue excitation using microelectrode arrays (MEAs) provides detailed insights into excitation spread and arrhythmias. This technique enhances understanding of cardiac networks and drug effects in embryonic heart tissue.
Area of Science:
- Cardiovascular Physiology
- Electrophysiology
- Biomedical Engineering
Background:
- Sequential excitation analysis of cardiac tissue is crucial for understanding arrhythmias and for experimental electrophysiology.
- Current clinical and experimental methods for recording cardiac activity have limitations in detail and scope.
Purpose of the Study:
- To investigate the utility of substrate-integrated Microelectrode Arrays (MEAs) for analyzing cardiac excitation sequences.
- To assess the potential of MEAs in drug research and predicting cardiac conditions.
Main Methods:
- Utilized substrate-integrated MEAs with 60 electrodes (10-30 microm diameters) on a 100-200 microm grid.
- Coated electrodes with porous titanium nitride to minimize impedance for high signal-to-noise ratio recording of extracellularly recorded field potentials (FPs).
- Employed electrical stimulation to expand MEA applications.
Main Results:
- MEAs enabled high signal-to-noise ratio recording of FPs, providing detailed information on excitation origin and spread.
- Demonstrated the analysis of excitation spread and arrhythmic activity in various embryonic cardiac preparations.
- Showcased the potential for evaluating drug effects on cardiac networks.
Conclusions:
- Substrate-integrated MEAs are effective tools for analyzing cardiac excitation sequences and field potentials.
- This technology facilitates drug research and improves the predictability of cardiac physiological and pathophysiological conditions.
- MEAs offer a high-resolution approach for studying complex cardiac networks in embryonic heart tissue.
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