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. 2023 Oct 16;50(5):e238246.
doi: 10.14503/THIJ-23-8246.

Polyploidy in Cardiomyocytes: Machine Learning for Single Cell Analyses

Jeremy Scott Mitchell  1 , Mark Alan Sussman  1
Affiliations

Polyploidy in Cardiomyocytes: Machine Learning for Single Cell Analyses

Jeremy Scott Mitchell et al. Tex Heart Inst J. .
No abstract available

Keywords: Myocytes, cardiac; computational biology; flow cytometry; machine learning; ploidies; polyploidy.

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Conflict of interest statement

Conflict of Interest Disclosure: None.

Figures

Fig. 1
Fig. 1
Images captured using the Cytek Amnis ImageStream X Mark II imaging flow cytometer of enzymatically isolated, single-cell adult mouse cardiomyocytes. Images were analyzed using IDEAS software to determine nuclear count and ploidy level, using a custom-scripted machine learning analysis module. From left to right: mononucleated cells, binucleated cells, and multinucleated cells.
See this image and copyright information in PMC

References

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    1. Broughton KM, Sussman MA. yocardial regeneration for humans—modifying biology and manipulating evolution. Circ J. 2017;81(2):142–148. doi: 10.1253/circj.CJ-16-1228. - DOI - PubMed
    1. Broughton KM, Ebeid D, Esquer C, Wang B, Moshref M, Sussman M. Polyploidy increases in murine cardiomyocytes following myocardial infarction. Circ Res. 2019;125:A401. doi: 10.1161/res.125.suppl_1.401. - DOI

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