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LipidUNet-Machine-Learning-basierte Methode zur Charakterisierung und Quantifizierung von Lipidablagerungen unter Verwendung von iPSC-abgeleitetem retinalem Pigmentepithel
JoVE Journal
Biology
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JoVE Journal Biology
LipidUNet-Machine Learning-Based Method of Characterization and Quantification of Lipid Deposits Using iPSC-Derived Retinal Pigment Epithelium
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LipidUNet-Machine-Learning-basierte Methode zur Charakterisierung und Quantifizierung von Lipidablagerungen unter Verwendung von iPSC-abgeleitetem retinalem Pigmentepithel

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1,403 Views

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00:49 min

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July 28, 2023

DOI:

10.3791/65503-v

DOI:
10.3791/65503-v

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00:49 min
July 28, 2023

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2 Views
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1Ocular and Stem Cell Translational Research Section, National Eye Institute,National Institutes of Health (NIH)

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Esh, Z., Suresh, S., Ortolan, D., Farnoodian, M., Bose, D., Ryu, J., Volkov, A., Bharti, K., Sharma, R. LipidUNet-Machine Learning-Based Method of Characterization and Quantification of Lipid Deposits Using iPSC-Derived Retinal Pigment Epithelium. J. Vis. Exp. (197), e65503, doi:10.3791/65503 (2023).

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