Evidence map›Paper›PMID 36589563›Full record

ArticleBiomedical optics express2022

Characterizing cone spectral classification by optoretinography.

Vimal Prabhu Pandiyan, Sierra Schleufer, Emily Slezak, James Fong, Rishi Upadhyay, Austin Roorda, Ren Ng, Ramkumar Sabesan

Abstract read
In one paragraph

Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Article
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  5. ƒ(Cell): Software for Reproducible Analysis of Optoretinograms.Translational vision science & technology · 2026
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  6. Article
  7. Review
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  13. 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 · 2025
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  14. Article
  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Vimal Prabhu PandiyanDepartment of Ophthalmology, University of Washington School of Medicine, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-6996-0355
Sierra SchleuferDepartment of Ophthalmology, University of Washington School of Medicine, Seattle, WA, USA.
Emily SlezakDepartment of Ophthalmology, University of Washington School of Medicine, Seattle, WA, USA.
James FongElectrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.
Rishi UpadhyayElectrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.
Austin RoordaHerbert Wertheim School of Optometry and Vision Science, University of California, Berkeley, Berkeley, CA, USA.
Ren NgElectrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.
Ramkumar SabesanDepartment of Ophthalmology, University of Washington School of Medicine, Seattle, WA, USA.ORCID https://orcid.org/0000-0003-0895-7037

Funding

Vision Research CoreP30EY001730 · NEI · UNIVERSITY OF WASHINGTON · PI JAMES Bryant HURLEY · 1985 to 2026
$23.5M
Optoretinography: All-optical measures of functional activity in the human retinaU01EY032055 · NEI · UNIVERSITY OF WASHINGTON · PI PALANKER, DANIEL V, ROORDA, AUSTIN · 2021 to 2025
$5.2M
Photoreceptor mosaic in health and diseaseR01EY029710 · NEI · UNIVERSITY OF WASHINGTON · PI Ramkumar Sabesan · 2019 to 2026
$2.9M
NEI NIH HHS P30 EY001730NEI NIH HHS R01 EY029710NEI NIH HHS U01 EY032055
6 · The paper itself

Abstract

Light propagation in photoreceptor outer segments is affected by photopigment absorption and the phototransduction amplification cascade. Photopigment absorption has been studied using retinal densitometry, while recently, optoretinography (ORG) has provided an avenue to probe changes in outer segment optical path length due to phototransduction. With adaptive optics (AO), both densitometry and ORG have been used for cone spectral classification based on the differential bleaching signatures of the three cone types. Here, we characterize cone classification by ORG, implemented in an AO line-scan optical coherence tomography (OCT), and compare it against densitometry. The cone mosaics of five color normal subjects were classified using ORG showing high probability (∼0.99), low error (<0.22%), high test-retest reliability (∼97%), and short imaging durations (< 1 hour). Of these, the cone spectral assignments in two subjects were compared against AO-scanning laser opthalmoscope densitometry. High agreement (mean: 91%) was observed between the two modalities in these two subjects, with measurements conducted 6-7 years apart. Overall, ORG benefits from higher sensitivity and dynamic range to probe cone photopigments compared to densitometry, and thus provides greater fidelity for cone spectral classification.

Identifiers

PMID36589563
PMCPMC9774847

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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.