Label-free imaging for quality control of cardiomyocyte differentiation
Tongcheng Qian (),
Tiffany M. Heaster,
Angela R. Houghtaling,
Kexin Sun,
Kayvan Samimi and
Melissa C. Skala ()
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Tongcheng Qian: Morgridge Institute for Research
Tiffany M. Heaster: Morgridge Institute for Research
Angela R. Houghtaling: Morgridge Institute for Research
Kexin Sun: Morgridge Institute for Research
Kayvan Samimi: Morgridge Institute for Research
Melissa C. Skala: Morgridge Institute for Research
Nature Communications, 2021, vol. 12, issue 1, 1-11
Abstract:
Abstract Human pluripotent stem cell (hPSC)-derived cardiomyocytes provide a promising regenerative cell therapy for cardiovascular patients and an important model system to accelerate drug discovery. However, cost-effective and time-efficient platforms must be developed to evaluate the quality of hPSC-derived cardiomyocytes during biomanufacturing. Here, we develop a non-invasive label-free live cell imaging platform to predict the efficiency of hPSC differentiation into cardiomyocytes. Autofluorescence imaging of metabolic co-enzymes is performed under varying differentiation conditions (cell density, concentration of Wnt signaling activator) across five hPSC lines. Live cell autofluorescence imaging and multivariate classification models provide high accuracy to separate low (
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24868-1
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DOI: 10.1038/s41467-021-24868-1
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