作者: Scarlett Nitsch , Florian Braun , Sylvia Ritter , Michael Scholz , Insa S. Schroeder
DOI: 10.1016/J.SCR.2018.03.013
关键词:
摘要: Human embryonic stem cells (hESCs) differentiated into cardiomyocytes (CM) often develop complex 3D structures that are composed of various cardiac cell types. Conventional methods to study the electrophysiology patch clamp and microelectrode array (MEAs) analyses. However, these not suitable investigate contractile features clusters detach from surface culture dishes during differentiation. To overcome this problem, we developed a video-based motion detection software relying on optical flow by Farneback call cBRA (cardiac beat rate analyzer). The beating characteristics were calculated based local displacement between two subsequent images. Two differentiation protocols, which profoundly differ in morphology generated expression markers, used resulting CM characterized. Despite differences, rates variabilities could be reliably determined using cBRA. Likewise, stimulation β-adrenoreceptors isoproterenol easily identified hESC-derived CM. Since even subtle changes detectable, method is for high throughput cardiotoxicity screenings.