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Defining Retinal and Choroidal Structures Using Hyperspectral Imaging
Sponsor: Center for Eye Research Australia
Summary
This study investigates a novel, non-invasive imaging technique called hyperspectral retinal imaging to improve the identification and characterisation of retinal and choroidal structures in both healthy and diseased eyes. Hyperspectral imaging captures retinal images across multiple wavelengths of light, generating detailed spectral information that may reveal biological and structural features not visible with conventional retinal photography. Approximately 1000 participants will undergo retinal imaging at specialist eye clinics in Melbourne, Australia. The study aims to determine whether hyperspectral imaging can detect spectral signatures associated with retinal and optic nerve diseases such as diabetic retinopathy, glaucoma, and age-related macular degeneration, and whether these signatures correlate with disease severity.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
679
Start Date
2016-02-25
Completion Date
2025-01-21
Last Updated
2026-04-15
Healthy Volunteers
Yes
Conditions
Interventions
Hyperspectral retinal imaging
Participants undergo non-invasive hyperspectral retinal imaging of the fundus using hyperspectral imaging devices that acquire sequential retinal images across multiple wavelengths (visible to near-infrared spectrum). Two devices may be used: the Optina Diagnostics Metabolic Hyperspectral Retinal Camera and a prototype hyperspectral camera developed at the Centre for Eye Research Australia. Imaging is performed following pharmacological pupil dilation (mydriasis) where required, and is similar in procedure to standard fundus photography, with the difference that multiple spectral channels (typically \>25 and up to \~90 wavelengths) are captured in rapid sequence to generate a hyperspectral image dataset ("hypercube"). The intervention is non-invasive, does not involve radiation or therapeutic treatment, and is used solely for retinal and choroidal imaging data acquisition for research analysis of structural and spectroscopic retinal features.