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Label-free imaging for quality control of cardiomyocyte differentiation

Author

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  • Tongcheng Qian

    (Morgridge Institute for Research)

  • Tiffany M. Heaster

    (Morgridge Institute for Research
    University of Wisconsin-Madison)

  • 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
    University of Wisconsin-Madison)

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 (

Suggested Citation

  • Tongcheng Qian & Tiffany M. Heaster & Angela R. Houghtaling & Kexin Sun & Kayvan Samimi & Melissa C. Skala, 2021. "Label-free imaging for quality control of cardiomyocyte differentiation," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24868-1
    DOI: 10.1038/s41467-021-24868-1
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