Predicting quality decay in continuously passaged mesenchymal stem cells by detecting morphological anomalies
Author:
Funder
New Energy and Industrial Technology Development Organization
Publisher
Elsevier BV
Subject
Applied Microbiology and Biotechnology,Bioengineering,Biotechnology
Reference32 articles.
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3. Morphology-based noninvasive early prediction of serial-passage potency enhances the selection of clone-derived high-potency cell bank from mesenchymal stem cells;Inflammation and Regeneration;2022-10-02
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5. Morphological heterogeneity description enabled early and parallel non-invasive prediction of T-cell proliferation inhibitory potency and growth rate for facilitating donor selection of human mesenchymal stem cells;Inflammation and Regeneration;2022-01-30
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