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Related Experiment Video

Updated: Jun 11, 2026

Ultrahigh Resolution Mouse Optical Coherence Tomography to Aid Intraocular Injection in Retinal Gene Therapy Research

Ultrahigh Resolution Mouse Optical Coherence Tomography to Aid Intraocular Injection in Retinal Gene Therapy Research

Published on: November 2, 2018

Multi-omic spatial effects on high-resolution AI-derived retinal thickness.

V E Jackson^1,2, Y Wu³, R Bonelli^1,2,4

¹Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.

Nature Communications

|February 5, 2025

Summary

This summary is machine-generated.

AI analysis of retinal thickness reveals novel genetic links to systemic diseases. This high-resolution imaging provides new insights into macular health and disease biomarkers.

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Last Updated: Jun 11, 2026

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In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography

Published on: July 24, 2020

Area of Science:

Ophthalmology
Genetics
Biomarkers

Background:

Retinal thickness is a key indicator of eye health and a potential biomarker for systemic diseases.
Optical coherence tomography (OCT) is routinely used for retinal thickness measurements in clinical eyecare.

Purpose of the Study:

To leverage artificial intelligence (AI) for high-resolution analysis of macular retinal thickness using UK Biobank OCT images.
To identify novel genetic and metabolic associations with fine-scale retinal thickness patterns.

Main Methods:

Processed over 29,000 macular points from UK Biobank OCT images using a convolutional neural network.
Analyzed common genomic variants, metabolomic, blood, and immune biomarkers, disease PheCodes, and genetic scores against a fine-scale macular thickness grid.

Main Results:

Discovered multiple novel genetic loci, including four on the X chromosome, associated with retinal thickness.
Identified associations between retinal thinning and systemic disorders like multiple sclerosis.
Found spatial clustering of metabolite associations within the retina, with parafoveal thickness being particularly sensitive to systemic factors.

Conclusions:

AI-driven analysis of retinal thickness offers enhanced discovery power and resolution.
Macular retinal thickness patterns are linked to genetic factors and systemic diseases.
Parafoveal thickness may serve as a sensitive indicator of systemic health insults.