ArticleBiomedical optics express2024
Improving cone identification using merged non-confocal quadrant-detection adaptive optics scanning light ophthalmoscope images.
Article in Biomedical optics express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
The trial behind it
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
3 citing papers in PubMed.
- Characterization of Leukocyte Crawling in the Living Human Retina Using Adaptive Optics Scanning Light Ophthalmoscopy.Investigative ophthalmology & visual science · 2026Article
- Multi-orientation non-confocal retinal imaging in an AOSLO using a Dove prism.Biomedical optics express · 2026Article
- Quantification of optical lensing by cellular structures in the living human eye.Biomedical optics express · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Cone photoreceptor inner segments visualized in non-confocal split-detection adaptive optics scanning light ophthalmoscope (AOSLO) images appear as obliquely illuminated domes with bright and dark opposing regions. Previously, the pairing of these bright and dark regions for automated photoreceptor identification has necessitated complex algorithms. Here we demonstrate how the merging of split-detection images captured with a non-confocal quadrant light detection scheme allows automated cone identification using simple, open-source image processing tools, while also improving accuracy in both normal and pathologic retinas.
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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.