Optical imaging-based methods for assessing the membrane
electrophysiology of in vitro human cardiac cells allow for
non-invasive temporal assessment of the effect of drugs and other stimuli.
Automated methods for detecting and analyzing the depolarization events (DEs) in
image-based data allow quantitative assessment of these different treatments. In
this study, we use 2-photon microscopy of fluorescent voltage-sensitive dyes
(VSDs) to capture the membrane voltage of actively beating human induced
pluripotent stem cell-derived cardiomyocytes (hiPS-CMs). We built a custom and
freely available Matlab software, called MaDEC, to detect, quantify, and compare
DEs of hiPS-CMs treated with the β-adrenergic drugs,
propranolol and isoproterenol. The efficacy of our software is quantified by
comparing detection results against manual DE detection by expert analysts, and
comparing DE analysis results to known drug-induced electrophysiological
effects. The software accurately detected DEs with true positive rates of
98–100% and false positive rates of 1–2%, at
signal-to-noise ratios (SNRs) of 5 and above. The MaDEC software was also able
to distinguish control DEs from drug-treated DEs both immediately as well as 10
min after drug administration.