Defining Retinal Structures Using Hyperspectral Retinal Imaging

This is a investigator-initiated imaging study assessing hyperspectral retinal imaging (HSI) for characterising retinal and optic nerve structures in healthy and diseased eyes. HSI acquires retinal images across multiple wavelengths (\>25 bands), producing a spectral "hypercube" containing spatial and spectral information for each pixel. This provides more detailed tissue information than conventional colour fundus photography. Approximately 1000 participants will be recruited from ophthalmology clinics in Melbourne. All participants will undergo standard ophthalmic assessment and hyperspectral retinal imaging using the Optina device and a CERA prototype camera. Hyperspectral images will be processed with registration and spectral normalisation to extract pixel-level reflectance signatures. These data will be analysed using statistical and machine learning methods and compared with established imaging biomarkers to evaluate their ability to distinguish disease states.