Patient-specific induced pluripotent stem cells (iPSCs) differentiated into cardiomyocytes (CMs) offer tremendous opportunities for cardiac disease modeling and advancements in precision medicine. There is a need for technologies that allow noninvasive and precise measurements of CM function, such as contractility, to increase throughput for drug screening and testing efforts. Hypoplastic Left Heart Syndrome (HLHS) is a rare and complex congenital heart defect characterized by hypoplasia of the left ventricle, proximal aorta, as well as stenosis or atresia of the mitral and/or aortic valves. Previously it was demonstrated that iPSC-CMs from an HLHS patient with a genetic variant in the alpha myosin heavy chain ( MYH6 gene) exhibited an impaired cardiomyocyte phenotype (dysmorphic sarcomere structure, compensatory expression of MYH7, and altered contractility). Gene editing using CRISPR/Cas9 rescued the phenotype, demonstrating the utility of MYH6 iPSC-CMs as a useful disease model for HLHS. Critical parameters of CM function include contraction and relaxation, assessing systolic and diastolic dysfunction, respectively, in iPSC-CMs. The aim of this study is to compare features from two open-source macros for ImageJ: MYOCYTER and MUSCLEMOTION. MYOCYTER improves upon previous plugins available by allowing for users to select parameters. Both methods allow measurement of movement from high-speed movies. MYOCYTER enables the user to select an optimal threshold, size, and cell count to minimize disturbances such as cellular fragments, background noise, and floating bubbles, to maximize precision during analysis. MUSCLEMOTION allows rapid and easy measurement of movement from high- speed videos and can measure and compare relative or absolute parameters. This study will determine whether a systolic or diastolic dysfunction phenotype is observed under different magnification settings and evaluate the effect of dosing with pharmaceutical compounds. Finally, benefits and drawbacks of both macros will be investigated. Children's Research Institute. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.