Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Condition-Specific Protocols Used in the Emergency Department Observation Unit: A Scoping Review.

Journal of the American College of Emergency Physicians open·2026

Same author

Comparative Analysis of Pathology Foundation Models for Automated Detection of Tertiary Lymphoid Structures in Hematoxylin-and-Eosin-Stained Digital Pathology Images.

Computational and structural biotechnology journal·2026

Same author

The 21st century marks a rise in TURP retreatment rates: an analysis of Veterans Health Administration data.

World journal of urology·2025

Same author

Novel predictors of major adverse cardiovascular events in patients with Takotsubo cardiomyopathy: a contemporary analysis.

Internal medicine journal·2025

Same author

Sleeping upside-down: Knockdown of a sleep-associated gene induces daytime sleep in the jellyfish <i>Cassiopea</i>.

Proceedings of the National Academy of Sciences of the United States of America·2025

Same author

Development and validation of a predictive 6-min walk score in patients with idiopathic pulmonary fibrosis.

The European respiratory journal·2025

Same journal

Comparison of Standard Clinical Pathology Parameter Values in Fasted and Fed Rats and Non-human Primates.

Toxicologic pathology·2026

Same journal

Time-Dependent Autolysis in Ex Vivo-Maintained Rat Tissue in Saline: A Descriptive Study and Practical Guidance for Histopathologic Assessment.

Toxicologic pathology·2026

Same journal

New Approach Methodologies (NAMs) for Carcinogenicity Evaluation.

Toxicologic pathology·2026

Same journal

2025 International Academy of Toxicologic Pathology (IATP) Satellite Symposium: Pathology Working Groups (PWGs) in Toxicologic Pathology.

Toxicologic pathology·2026

Same journal

Toxicologic Pathology Forum*: Opportunities and Challenges in the Use of Artificial Intelligence in Nonclinical Toxicologic Histopathology Evaluations.

Toxicologic pathology·2026

Same journal

New Modalities and Carcinogenicity Assessment.

Toxicologic pathology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Nov 23, 2025

A Protocol to Evaluate and Quantify Retinal Pigmented Epithelium Pathologies in Mouse Models of Age-Related Macular Degeneration

A Protocol to Evaluate and Quantify Retinal Pigmented Epithelium Pathologies in Mouse Models of Age-Related Macular Degeneration

Published on: March 10, 2023

Mammalian Retinal Cell Quantification.

Anantharaman Muthuswamy¹, Henry Chen¹, Ying Hu¹

¹7845Regeneron Pharmaceuticals, Tarrytown, NY, USA.

Toxicologic Pathology

|December 31, 2020

Summary

This summary is machine-generated.

This review discusses quantifying retinal cell loss in animal models to understand human retinal diseases like glaucoma and macular degeneration. It highlights methods for assessing cell numbers and disease progression.

Keywords:

image analysis immunohistochemistry quantification retina retinal ganglion cells

More Related Videos

Author Spotlight: Efficient Retinal Ganglion Cell Counting in Mouse Models of Glaucoma for Treatment Evaluation

Author Spotlight: Efficient Retinal Ganglion Cell Counting in Mouse Models of Glaucoma for Treatment Evaluation

Published on: October 4, 2024

Quantifying the Activity of cis-Regulatory Elements in the Mouse Retina by Explant Electroporation

Quantifying the Activity of cis-Regulatory Elements in the Mouse Retina by Explant Electroporation

Published on: June 28, 2011

Related Experiment Videos

Last Updated: Nov 23, 2025

A Protocol to Evaluate and Quantify Retinal Pigmented Epithelium Pathologies in Mouse Models of Age-Related Macular Degeneration

A Protocol to Evaluate and Quantify Retinal Pigmented Epithelium Pathologies in Mouse Models of Age-Related Macular Degeneration

Published on: March 10, 2023

Author Spotlight: Efficient Retinal Ganglion Cell Counting in Mouse Models of Glaucoma for Treatment Evaluation

Author Spotlight: Efficient Retinal Ganglion Cell Counting in Mouse Models of Glaucoma for Treatment Evaluation

Published on: October 4, 2024

Quantifying the Activity of cis-Regulatory Elements in the Mouse Retina by Explant Electroporation

Quantifying the Activity of cis-Regulatory Elements in the Mouse Retina by Explant Electroporation

Published on: June 28, 2011

Area of Science:

Ophthalmology
Neuroscience
Cell Biology

Background:

Retinal cell integrity is crucial for vision; its loss occurs in diseases like glaucoma and macular degeneration.
Genetically modified mice and advanced quantification tools aid in understanding retinal disease pathogenesis.
Animal models are vital for studying human retinal diseases and developing therapeutic strategies.

Purpose of the Study:

To review immunohistochemical markers and automated tools for quantifying retinal cells.
To discuss the suitability of animal models for studying human retinal diseases.
To present an example of retinal ganglion cell quantification using image analysis software.

Main Methods:

Review of scientific literature on retinal cell quantification techniques.
Discussion of immunohistochemical markers for identifying retinal cell types.
Demonstration of automated cell counting using the HALO image analysis platform.

Main Results:

Various methods exist to quantify retinal cells, aiding in disease research.
Automated tools provide valuable data for studying disease pathogenesis and progression.
The HALO platform offers a practical example for retinal ganglion cell quantification.

Conclusions:

Quantifying retinal cell loss is essential for understanding visual impairment in diseases.
Advanced imaging and analysis tools improve the study of retinal diseases in animal models.
This review provides a framework for utilizing quantification modalities in retinal research.