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LipidUNet-iPSC 유래 망막 색소 상피를 이용한 지질 침전물의 특성화 및 정량화의 기계 학습 기반 방법
JoVE Revista
Biología
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JoVE Revista Biología
LipidUNet-Machine Learning-Based Method of Characterization and Quantification of Lipid Deposits Using iPSC-Derived Retinal Pigment Epithelium
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LipidUNet-iPSC 유래 망막 색소 상피를 이용한 지질 침전물의 특성화 및 정량화의 기계 학습 기반 방법

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00:49 min

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July 28, 2023

DOI:

10.3791/65503-v

DOI:
10.3791/65503-v

•

00:49 min
July 28, 2023

•

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

Tags

Lipid DepositsRetinal Pigment EpitheliumAge-related Macular DegenerationInduced Pluripotent Stem CellMachine LearningLipidUNetLipid Droplet AnalysisRetinal DegenerationStargardt DiseaseLate-onset Retinal DegenerationComplement ActivationPhagocytosisDrug Discovery

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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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