Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
2093771 | Stem Cell Reports | 2015 | 8 Pages |
•Image processing metrics for characterizing the contractile cytoskeleton•Unbiased data mining strategies to assess cardiomyocyte maturation•Structural phenotyping of stem cell-derived cardiomyocytes
SummaryStructural phenotyping based on classical image feature detection has been adopted to elucidate the molecular mechanisms behind genetically or pharmacologically induced changes in cell morphology. Here, we developed a set of 11 metrics to capture the increasing sarcomere organization that occurs intracellularly during striated muscle cell development. To test our metrics, we analyzed the localization of the contractile protein α-actinin in a variety of primary and stem-cell derived cardiomyocytes. Further, we combined these metrics with data mining algorithms to unbiasedly score the phenotypic maturity of human-induced pluripotent stem cell-derived cardiomyocytes.