ArticleFrontiers in ophthalmology2024
Unraveling the functional signals of rods and cones in the human retina: separation and analysis.
Article in Frontiers in ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Proto-clinical optoretinography dependence on temporal and spatial resolution.Biomedical optics express · 2026Article
- Evaluating Human Rod Photoreceptor Function Using Pixelwise Intensity-Based Optoretinography.Translational vision science & technology · 2026Article
- ƒ(Cell): Software for Reproducible Analysis of Optoretinograms.Translational vision science & technology · 2026Article
- Computational framework for combining multiple swept-sources for high-resolution in-vivo optical coherence tomography.Biomedical optics express · 2026Article
- Interferometric imaging of the reversible rhodopsin dynamics in the living rat eye.Nature communications · 2025Article
- Photopic flicker optoretinography captures the light-driven length modulation of photoreceptors during phototransduction.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
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Authors and funding
6 authors.
Funding
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Abstract
In recent years, optoretinography has become an important functional imaging method for the retina, as light-evoked changes in the photoreceptors have been demonstrated for a large number of different OCT systems. Full-field swept-source optical coherence tomography (FF-SS-OCT) is particularly phase-stable, and it is currently the only technique sensitive enough to detect the smaller functional changes in the inner plexiform layer (IPL). However, the resolution of state-of-the art FF-SS-OCT systems is not high enough to distinguish individual photoreceptors. This makes it difficult to separate rods from cones. In this work, we circumvent this problem by separating the functional changes in rods and cones by their different temporal dynamics to the same light stimulus. For this purpose, a mathematical model was developed that represents the measured signals as a superposition of two impulse responses. The developed model describes the measured data under different imaging conditions very well and is able to analyze the sensitivity and temporal dynamics of the two photoreceptor types separately.
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