This study evaluates hyperspectral retinal imaging as a novel, non-invasive imaging technique to characterise retinal and optic nerve structures in healthy individuals and patients with eye disease. Hyperspectral imaging captures retinal data across multiple wavelengths to generate detailed spectral information that may reveal features not visible with conventional retinal photography. Approximately 1000 participants will undergo multi-modal ophthalmic imaging in Melbourne, Australia, including hyperspectral imaging, OCT, fundus photography, and related tests. The study aims to compare hyperspectral imaging with standard imaging methods and assess its ability to identify retinal biomarkers associated with diseases such as diabetic retinopathy, glaucoma, and age-related macular degeneration.
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Diagnostic performance of hyperspectral imaging-derived spectral score for detection of retinal disease
Timeframe: During study visit (baseline data collection); analyses performed after completion of participant recruitment and imaging dataset acquisition