ArticleBiomedical optics express2019
Automated quantification study of human cardiomyocyte synchronization using holographic imaging.
Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 14 citations in OpenAlex.
- Automated fast label-free quantification of cardiomyocyte dynamics with raw holograms for cardiotoxicity screening.Biomedical optics express · 2025Article
- Human Induced Pluripotent Stem Cells as a Disease Model System for Heart Failure.Current heart failure reports · 2021Review
- Muscular Thin Films for Label-Free Mapping of Excitation Propagation in Cardiac Tissue.Annals of biomedical engineering · 2020Article
- No-search focus prediction at the single cell level in digital holographic imaging with deep convolutional neural network.Biomedical optics express · 2019Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper investigates the rhythm strip and parameters of synchronization of human induced pluripotent stem cell (iPS) derived cardiomyocytes. The synchronization is evaluated from quantitative phase images of beating cardiomyocytes which are obtained using the time-lapse digital holographic imaging method. By quantitatively monitoring the dry mass redistribution, digital holography provides the physical contraction-relaxation signal caused by autonomous cardiac action potential. In order to analyze the synchronicity at the cell-to-cell level, we extracted single cardiac muscle cells, which contain the nuclei, from the phase images of cardiomyocytes containing multiple cells resulting from the fusion of
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Registered trials
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