Automatic Zebrafish Heartbeat Detection and Analysis for Zebrafish Embryos
Christian Pylatiuk(Karlsruhe Institute of Technology), Daniela Sánchez(Karlsruhe Institute of Technology), Ralf Mikut(Karlsruhe Institute of Technology), Rüdiger Alshut(Karlsruhe Institute of Technology), Markus Reischl(Karlsruhe Institute of Technology), Sofia Hirth(Universität Ulm), Wolfgang Rottbauer(Universität Ulm), Steffen Just(Universität Ulm)
Cited by 61Open Access
Abstract
A fully automatic detection and analysis method of heartbeats in videos of nonfixed and nonanesthetized zebrafish embryos is presented. This method reduces the manual workload and time needed for preparation and imaging of the zebrafish embryos, as well as for evaluating heartbeat parameters such as frequency, beat-to-beat intervals, and arrhythmicity. The method is validated by a comparison of the results from automatic and manual detection of the heart rates of wild-type zebrafish embryos 36-120 h postfertilization and of embryonic hearts with bradycardia and pauses in the cardiac contraction.
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