Deep compressed multichannel adaptive optics scanning light ophthalmoscope.

Journal: Science advances
PMID: 40344063

Abstract

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 nonconfocal AOSLO designs, by providing multidirectional imaging capabilities, a recent generation of multidetector and (multi-)offset aperture AOSLO modalities has 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 present an innovative combination of machine learning and optics as an integrated technology to compressively capture 12 nonconfocal channel AOSLO images simultaneously. Imaging of healthy participants and diseased subjects using the proposed deep compressed multichannel AOSLO 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. To facilitate the adaptation and integration with other in vivo microscopy systems, we made optical design, acquisition, and computational reconstruction codes open source.

Authors

  • Jongwan Park
    Department of Biomedical Engineering, Duke University, Durham, NC, USA.
  • Kristen Hagan
    Department of Biomedical Engineering, Duke University, Durham, NC, USA.
  • Theodore B DuBose
    Department of Biomedical Engineering, Duke University, Durham, NC, USA.
  • Ramiro S Maldonado
    Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.
  • Ryan P McNabb
    Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.
  • Alfredo Dubra
    Byers Eye Institute, Stanford University, Stanford, CA, USA.
  • Joseph A Izatt
    Department of Biomedical Engineering, Duke University, Durham, NC, USA.
  • Sina Farsiu
    Department of Biomedical Engineering, Duke University, Durham, NC, USA.

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