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Related Experiment Video

Updated: Dec 19, 2025

Transpupillary Two-Photon In Vivo Imaging of the Mouse Retina

Transpupillary Two-Photon In Vivo Imaging of the Mouse Retina

Published on: February 13, 2021

Translational Retinal Imaging.

Jorge Orellana-Rios¹, Sho Yokoyama², Alauddin Bhuiyan³

¹Fundación Oftalmológica Los Andes, Vitacura, Santiago de Chile, Chile.

Asia-Pacific Journal of Ophthalmology (Philadelphia, Pa.)

|June 4, 2020

Summary

This summary is machine-generated.

New retinal imaging techniques offer novel insights into diseases like age-related macular degeneration. These advanced methods, including quantitative and hyperspectral autofluorescence, promise earlier detection and improved treatment strategies for retinal conditions.

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Last Updated: Dec 19, 2025

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Area of Science:

Ophthalmology
Medical Imaging
Biomedical Engineering

Background:

Medical retinal disease diagnosis and treatment rely heavily on multimodal retinal imaging.
Existing imaging methods have limitations in understanding disease processes and interventions.

Purpose of the Study:

To present novel, translational retinal imaging techniques.
To highlight how these techniques advance understanding of disease mechanisms and enable new interventions.

Main Methods:

Quantitative autofluorescence imaging for lipofuscin studies in age-related macular degeneration.
Hyperspectral autofluorescence imaging for molecular basis of retinal pigment epithelium fluorescence.
Ophthalmic endoscope for vitreous surgery and subretinal imaging.
Remote retinal imaging combined with deep learning artificial intelligence.

Main Results:

Quantitative autofluorescence imaging has reshaped understanding of lipofuscin's role in age-related macular degeneration.
Hyperspectral autofluorescence imaging shows potential for early detection of age-related macular degeneration.
The ophthalmic endoscope allows unprecedented surgical approaches and in-vivo tissue imaging.
AI-powered remote imaging is poised to revolutionize medical care.

Conclusions:

Advanced retinal imaging techniques are crucial for diagnosing and treating retinal diseases.
These innovative methods provide new insights into disease pathology and therapeutic possibilities.
Future applications of AI in remote retinal imaging promise transformative changes in eye care.