![]() ![]() To measure a spectral datacube (x, y, λ), conventional spectral imaging cameras rely on scanning, either in the spatial domain, such as using a slit scanning spectrometer 7, or in the spectral domain, such as using a liquid-crystal-tunable-filter 8. The overall rationale of using a spectral camera in retinal imaging is that the ocular tissue's endogenous optical properties, such as absorption and scattering, change during the progression of a retinal disease, and the spectrum of light emitted from tissue carries quantitative diagnostic information about tissue pathology. Originally developed for remote sensing 5, spectral imaging has gained increasing popularity in medical applications, including retinal imaging 6. The rich information could be used to classify the underlying components of the object. acquiring both spatial coordinates (x, y) and wavelengths (λ) of a scene simultaneously. In contrast, spectral imaging captures light in three dimensions, i.e. Despite being extensively used in clinics, these techniques measure only spatial information of the retina. The current standard-of-care retinal imaging technologies encompass color fundus photography, scanning laser ophthalmoscopes (SLO) 3, and optical coherence tomography (OCT) 4.
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