A comprehensive system of algorithms for characterization of cardiomyocyte mechanical and electrical function

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Varování

Publikace nespadá pod Filozofickou fakultu, ale pod Středoevropský technologický institut. Oficiální stránka publikace je na webu muni.cz.
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KABANOV Daniil VRANA Šimon BECKEROVÁ Deborah ROTREKL Vladimír PESL Martin PŘIBYL Jan

Rok publikování 2026
Druh Recenzovaný odborný článek
Časopis / Zdroj Biomedical Signal Processing and Control
Fakulta / Pracoviště MU

Středoevropský technologický institut

Citace
www https://www.sciencedirect.com/science/article/pii/S1746809426006798?getft_integrator=clarivate&pes=vor&utm_source=clarivate
Doi https://doi.org/10.1016/j.bspc.2026.110125
Klíčová slova Biomechanics; Cardiomyocytes; Biometrics; Atomic Force Microscopy; Multielectrode Array; Electromechanical Decoupling
Přiložené soubory
Popis Understanding the mechanical and electrical function of cardiomyocytes is crucial to unraveling the intricate mechanisms of cardiac physiology and provides insights into the basis of cardiac function and dysfunction. The link between these two aspects provides a holistic perspective and essential knowledge for advancing cardiac research, diagnostics, and therapeutic interventions to combat cardiovascular disease, a leading cause of morbidity and mortality worldwide. A set of Python-based scripts for analyzing mechanical and electrical signals from cardiac cells acquired using Atomic Force Microscopy (AFM) and Multi-Electrode Array (MEA) techniques is presented. The integration of AFM and MEA allows the simultaneous probing of cellular mechanics and electrophysiology. The scripts offer a novel, systematic framework for importing, processing, and interpreting data from complex AFM-MEA experimental setups. Mechanocardiograms obtained from AFM vertical deflection and electrical signals obtained from MEA recordings can be analyzed. The scripts include advanced algorithms for quantifying key parameters, such as beat rate, arrhythmia classification, contraction force, and field potential properties. Additionally, the presented methodology facilitates the correlation between mechanical and electrical behavior. These scripts provide a valuable toolkit for researchers conducting cardiac physiology studies, offering a standardized, efficient approach to unraveling the intricacies of cardiomyocyte behavior in vitro.
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