Data and scripts from: Deep compressed multi-channel adaptive optics scanning light ophthalmoscope

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Adaptive optics scanning light ophthalmoscopy (AOSLO) reveals individual retinal cells and their function, microvasculature, and micropathologies in vivo. As compared to the single-channel offset pinhole and two-channel split detector non-confocal AOSLO designs, by providing multi-directional imaging capabilities, a new generation of multi-detector and (multi-)offset aperture AOSLO modalities have been demonstrated to provide critical information about retinal microstructures. However, increasing detection channels requires expensive optical components and/or critically increases imaging time. To address this issue, we introduce a novel combination of machine learning and optics as an integrated technology to compressively capture twelve non-confocal channel AOSLO images simultaneously. Imaging of healthy and diseased subjects using the proposed Deep Compressed Multi-Channel AOSLO (DCAOSLO) showed enhanced visualization of rods, cones, and mural cells with over an order of magnitude improvement in imaging speed as compared to conventional offset aperture imaging.