ArticleScientific reports2023
Coded aperture snapshot spectral imaging fundus camera.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Development of Confocal Multispectral Imaging Using a Common Commercial Device and Application in a Healthy Aging Mouse Model.Investigative ophthalmology & visual science · 2026Article
- Snapshot hyperspectral fundus imaging system using a microlens array.Biomedical optics express · 2026Article
- Snapshot hyperspectral fundus imaging system using a microlens array.medRxiv : the preprint server for health sciences · 2025Article
- Article
- Development of a multispectral imaging apparatus for cost-effective fundus disease detection.Biomedical optics express · 2025Article
- Hyperspectral retinal imaging in Alzheimer's disease and age-related macular degeneration: a review.Acta neuropathologica communications · 2024Review
- Hyperspectral screen-image-synthesis meter with scattering-noise suppression.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Spectral imaging holds great promise for the non-invasive diagnosis of retinal diseases. However, to acquire a spectral datacube, conventional spectral cameras require extensive scanning, leading to a prolonged acquisition. Therefore, they are inapplicable to retinal imaging because of the rapid eye movement. To address this problem, we built a coded aperture snapshot spectral imaging fundus camera, which captures a large-sized spectral datacube in a single exposure. Moreover, to reconstruct a high-resolution image, we developed a robust deep unfolding algorithm using a state-of-the-art spectral transformer in the denoising network. We demonstrated the performance of the system through various experiments, including imaging standard targets, utilizing an eye phantom, and conducting in vivo imaging of the human retina.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.