Journal
/
Biologie
/
Modeling and Analyzing Retinal Degeneration
/
Author Spotlight: Unraveling the Pathogenesis of Age-Related Macular Degeneration and Discovering Potential Therapies
JoVE Journal
Biologie
This content is Free Access.
JoVE Journal Biologie
LipidUNet-Machine Learning-Based Method of Characterization and Quantification of Lipid Deposits Using iPSC-Derived Retinal Pigment Epithelium

Author Spotlight: Unraveling the Pathogenesis of Age-Related Macular Degeneration and Discovering Potential Therapies

1,466 Views

•

00:49 min

•

July 28, 2023

DOI:

10.3791/65503-v

DOI:
10.3791/65503-v

•

00:49 min
July 28, 2023

•

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

Explore More Videos

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

Read Article

Cite this Article

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).

Download .ris file

Copy

Share Video

.

Copy