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

Public

  • Data embargoed until publication of related article, or up to no more than 1 year from data upload


    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. ... [Read More]

Total Size
0 files (0 Bytes)
Data Citation
  • Park, J., Hagan, K., DuBose, T., Maldonado, R. S., McNabb, R. P., Dubra, A., Izatt, J. A., & Farsiu, S.(2025). Data and scripts from: Deep compressed multi-channel adaptive optics scanning light ophthalmoscope.Duke Research Data Repository. https://doi.org/10.7924/r4474kt5f.
DOI
  • 10.7924/r4474kt5f
Publication Date
ARK
  • ark:/87924/r4474kt5f
Type
Contact
Title
  • Data and scripts from: Deep compressed multi-channel adaptive optics scanning light ophthalmoscope
License
Repository

Home
This Dataset
Usage Stats