Key result
Semi-automatic Optical Heartbeat Analysis tracks cardiac movements and calculates physiological readouts in small animal models.
Why the study?
A method was needed to analyze high speed optical recordings of small hearts from Drosophila, zebrafish, and embryonic mouse models to assess cardiac function.
SOHA provides a semi-automated method for extracting detailed physiological parameters from high-speed optical recordings of small animal heart models.
Answers are grounded in this paper and cite their sources.
May aid preclinical phenotyping in small-animal models; leaves open translation to mammalian or clinical use.
We have developed a method for analyzing high speed optical recordings from Drosophila, zebrafish and embryonic mouse hearts (Fink, et. al., 2009). Our Semi-automatic Optical Heartbeat Analysis (SOHA) uses a novel movement detection algorithm that is able to detect cardiac movements associated with individual contractile and relaxation events. The program provides a host of physiologically relevant readouts including systolic and diastolic intervals, heart rate, as well as qualitative and quantitative measures of heartbeat arrhythmicity. The program also calculates heart diameter measurements during both diastole and systole from which fractional shortening and fractional area changes are calculated. Output is provided as a digital file compatible with most spreadsheet programs. Measurements are made for every heartbeat in a record increasing the statistical power of the output. We demonstrate each of the steps where user input is required and show the application of our methodology to the analysis of heart function in all three genetically tractable heart models.
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Ocorr et al. (2009) studied this question. Semi-automatic Optical Heartbeat Analysis (SOHA) was evaluated. Semi-automatic Optical Heartbeat Analysis (SOHA) provides a method for detecting cardiac movements and calculating physiological readouts like heart rate and fractional shortening in small animal models.
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