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Automated single cardiomyocyte characterization by nucleus extraction from dynamic holographic images using a fully convolutional neural network
Human-induced pluripotent stem cell-derived cardiomyocytes (hiPS-CMs) beating can be efficiently characterized by time-lapse quantitative phase imaging (QPIs) obtained by digital holographic microscopy. Particularly, the CM’s nucleus section can precisely reflect the associated rhythmic beating patt...
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| Vydáno v: | Biomed Opt Express |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Optical Society of America
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7075611/ https://ncbi.nlm.nih.gov/pubmed/32206425 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.385218 |
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