ArticleBiomedical engineering online2014
Video image-based analysis of single human induced pluripotent stem cell derived cardiomyocyte beating dynamics using digital image correlation.
Article in Biomedical engineering online, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed, 92 citations in OpenAlex.
- A Generative AI Framework to Predict Cardiomyocyte Contraction Function from Single Static Images.Advanced intelligent discovery · 2026Article
- A Generative AI Framework to Predict Cardiomyocyte Contraction Function from Single Static Images.bioRxiv : the preprint server for biology · 2026Article
- Unveiling cellular mechanisms underlying MYZAP related dilated cardiomyopathy using patient specific hiPSC cardiomyocytes.Scientific reports · 2026Article
- Enhancing human-induced pluripotent stem cell proliferation and cardiac differentiation through 810-nm photobiomodulation.Lasers in medical science · 2026Article
- Advances in induced pluripotent stem cell-derived cardiac myocytes: technological breakthroughs, key discoveries and new applications.The Journal of physiology · 2024Review
- Gellan gum-gelatin based cardiac models support formation of cellular networks and functional cardiomyocytes.Cytotechnology · 2024Article
- MicroBundleCompute: Automated segmentation, tracking, and analysis of subdomain deformation in cardiac microbundles.PloS one · 2024Article
- BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs.IEEE open journal of engineering in medicine and biology · 2024Article
- Multifocal optical projection microscopy enables label-free 3D measurement of cardiomyocyte cluster contractility.Scientific reports · 2023Article
- Biohybrid Soft Robots Powered by Myocyte: Current Progress and Future Perspectives.Micromachines · 2023Review
- Article
- Simultaneous Widefield Voltage and Dye-Free Optical Mapping Quantifies Electromechanical Waves in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes.ACS photonics · 2023Article
- Building blocks of microphysiological system to model physiology and pathophysiology of human heart.Frontiers in physiology · 2023Review
- Cellular Biomechanic Impairment in Cardiomyocytes Carrying the Progeria Mutation: An Atomic Force Microscopy Investigation.Langmuir : the ACS journal of surfaces and colloids · 2022Article
- Robust, Automated Analysis of Electrophysiology in Induced Pluripotent Stem Cell-Derived Micro-Heart Muscle for Drug Toxicity.Tissue engineering. Part C, Methods · 2022Article
- Physiologic biomechanics enhance reproducible contractile development in a stem cell derived cardiac muscle platform.Nature communications · 2021Article
- Muscular Thin Films for Label-Free Mapping of Excitation Propagation in Cardiac Tissue.Annals of biomedical engineering · 2020Article
- Modelling sarcomeric cardiomyopathies with human cardiomyocytes derived from induced pluripotent stem cells.The Journal of physiology · 2020Review
- Covalent immobilization of luminescent oxygen indicators reduces cytotoxicity.Biomedical microdevices · 2020Article
- All-Optical Electrophysiology Refines Populations of In Silico Human iPSC-CMs for Drug Evaluation.Biophysical journal · 2020Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe functionality of a cardiomyocyte is primarily measured by analyzing the electrophysiological properties of the cell. The analysis of the beating behavior of single cardiomyocytes, especially ones derived from stem cells, is challenging but well warranted. In this study, a video-based method that is non-invasive and label-free is introduced and applied for the study of single human cardiomyocytes derived from induced pluripotent stem cells.
methodsThe beating of dissociated stem cell-derived cardiomyocytes was visualized with a microscope and the motion was video-recorded. Minimum quadratic difference, a digital image correlation method, was used for beating analysis with geometrical sectorial cell division and radial/tangential directions. The time series of the temporal displacement vector fields of a single cardiomyocyte was computed from video data. The vector field data was processed to obtain cell-specific, contraction-relaxation dynamics signals. Simulated cardiomyocyte beating was used as a reference and the current clamp of real cardiomyocytes was used to analyze the electrical functionality of the beating cardiomyocytes.
resultsOur results demonstrate that our sectorized image correlation method is capable of extracting single cell beating characteristics from the video data of induced pluripotent stem cell-derived cardiomyocytes that have no clear movement axis, and that the method can accurately identify beating phases and time parameters.
conclusionOur video analysis of the beating motion of single human cardiomyocytes provides a robust, non-invasive and label-free method to analyze the mechanobiological functionality of cardiomyocytes derived from induced pluripotent stem cells. Thus, our method has potential for the high-throughput analysis of cardiomyocyte functions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.