ArticleBiomedical optics express2019
Light reflectivity and interference in cone photoreceptors.
Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Neural network assisted annotation and analysis tool to study in-vivo foveolar cone photoreceptor topography.Scientific reports · 2025Article
- The Cone Optoretinogram as a Function of Retinal Eccentricity.Photonics · 2025Article
- Twenty-five years of clinical applications using adaptive optics ophthalmoscopy [Invited].Biomedical optics express · 2023Review
- Repeatability and reciprocity of the cone optoretinogram.Biomedical optics express · 2022Article
- Assessment of photoreceptor function with ultrafast retinal densitometry.Biomedical optics express · 2022Article
- Patches of Dysflective Cones in Eyes With No Known Disease.Investigative ophthalmology & visual science · 2022Article
- Emulated retinal image capture (ERICA) to test, train and validate processing of retinal images.Scientific reports · 2021Article
- Article
- Optoretinography of individual human cone photoreceptors.Optics express · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
In several modes of retinal imaging, the primary means of visualizing cone photoreceptors is from reflected light. Understanding how such images are formed, particularly when adaptive optics techniques are used, will help to guide their interpretation. Toward this end, we used finite difference beam propagation to model reflections from cone photoreceptors. We investigated the formation of cone images in adaptive optics scanning laser ophthalmoscopy (AOSLO) and optical coherence tomography (AOOCT). Three cone models were tested, one made up of three segments of varying refractive index, the other two having additional boundaries at the inner/outer segment junction and outer segment tip. Images formed by the first model did not correspond to AOOCT observations in the literature, while the latter two did. The predicted distributions of reflected light intensity from the latter cone models were compared to the distribution from AOSLO images, both studied with light sources of varied coherence length. The cone model with the most reflections at the inner/outer segment junction best fit the data measured
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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.