BME Ph.D student Giann Gorospe’s journal article “Automated Grouping of Action Potentials of Human Embryonic Stem Cell-Derived Cardiomyocytes” was featured in this month’s issue (Volume 61, Issue 9) of IEEE’s Transactions in Biomedical Engineering.  Alongside Renjun Zhu, Michal A. Millrod, Elias T. Zambidis, Leslie Tung, and Rene Vidal, the article used optical mapping to obtain action potential recordings from differentiated cardiomyocytes, and applied methods from signal processing and machine learning to perform automated grouping of the cardiomyocyte population based on their action potential waveforms.  The article opens up the potential for phenotype identification via action potential waveforms, and thus allows for discussion of population heterogeneity of differentiated cardiomyocytes, and the possibility of refining culture conditions to enhance desired cellular phenotypes.

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