Sign In

LipidUNet-Machine Learning-Based Method of Characterization and Quantification of Lipid Deposits Using iPSC-Derived Retinal Pigment Epithelium

2.4K Views

06:16 min

July 28th, 2023

DOI :

10.3791/65503-v

July 28th, 2023


Explore More Videos

LipidUNet

Chapters in this video

0:00

Introduction

0:39

Staining of Sub‐Retinal Pigment Epithelium (RPE) Deposits

3:26

Image Processing of REP Deposits, Segmentation, and Quantification

Related Videos

article

10:19

MicroRNA Expression Profiles of Human iPS Cells, Retinal Pigment Epithelium Derived From iPS, and Fetal Retinal Pigment Epithelium

11.3K Views

article

09:35

Primary Cell Cultures from the Mouse Retinal Pigment Epithelium

20.9K Views

article

07:46

Quantification of Lipid Abundance and Evaluation of Lipid Distribution in Caenorhabditis elegans by Nile Red and Oil Red O Staining

20.0K Views

article

10:19

Measurement of Energy Metabolism in Explanted Retinal Tissue Using Extracellular Flux Analysis

9.4K Views

article

07:02

Analyzing the α-Actinin Network in Human iPSC-Derived Cardiomyocytes Using Single Molecule Localization Microscopy

6.6K Views

article

08:33

Efficient Dissection and Culture of Primary Mouse Retinal Pigment Epithelial Cells

6.1K Views

article

13:12

Nitroreductase/Metronidazole-Mediated Ablation and a MATLAB Platform (RpEGEN) for Studying Regeneration of the Zebrafish Retinal Pigment Epithelium

2.4K Views

article

07:59

Primary Culture of Porcine Retinal Pigment Epithelial Cells

2.0K Views

article

06:21

Isolation of Primary Mouse Retinal Pigmented Epithelium Cells

4.8K Views

article

07:59

Efficient and Consistent Generation of Retinal Pigment Epithelium/Choroid Flatmounts from Human Eyes for Histological Analysis

2.5K Views

JoVE Logo

Privacy

Terms of Use

Policies

Research

Education

ABOUT JoVE

Copyright © 2025 MyJoVE Corporation. All rights reserved