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of 4
pro vyhledávání: '"92F05, 74A05"'
Autor:
Kobeissi, Hiba, Gao, Xining, DePalma, Samuel J., Ewoldt, Jourdan K., Wang, Miranda C., Das, Shoshana L., Jilberto, Javiera, Nordsletten, David, Baker, Brendon M., Chen, Christopher S., Lejeune, Emma
Movies of human induced pluripotent stem cell (hiPSC)-derived engineered cardiac tissue (microbundles) contain abundant information about structural and functional maturity. However, extracting these data in a reproducible and high-throughput manner
Externí odkaz:
http://arxiv.org/abs/2405.11096
Autor:
Kobeissi, Hiba, Jilberto, Javiera, Karakan, M. Çağatay, Gao, Xining, DePalma, Samuel J., Das, Shoshana L., Quach, Lani, Urquia, Jonathan, Baker, Brendon M., Chen, Christopher S., Nordsletten, David, Lejeune, Emma
Advancing human induced pluripotent stem cell derived cardiomyocyte (hiPSC-CM) technology will lead to significant progress ranging from disease modeling, to drug discovery, to regenerative tissue engineering. Yet, alongside these potential opportuni
Externí odkaz:
http://arxiv.org/abs/2308.04610
A better fundamental understanding of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) has the potential to advance applications ranging from drug discovery to cardiac repair. Automated quantitative analysis of beating hiPSC-CMs
Externí odkaz:
http://arxiv.org/abs/2102.02412
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 10, p e1009443 (2021)
PLoS Computational Biology
PLoS Computational Biology
A better fundamental understanding of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) has the potential to advance applications ranging from drug discovery to cardiac repair. Automated quantitative analysis of beating hiPSC-CMs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c4a1e5b9632b733066658b77a842a46
http://arxiv.org/abs/2102.02412
http://arxiv.org/abs/2102.02412