Evidence map›Paper›PMID 40793510›Full record

ArticleJournal of the Optical Society of America. A, Optics, image science, and vision2025

iPhone-based anomaloscope for accessible, accurate color vision testing.

Dragos Rezeanu, James A Kuchenbecker, Maureen Neitz, Jay Neitz

Abstract readValidation Study
In one paragraph

Article in Journal of the Optical Society of America. A, Optics, image science, and vision, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Assessment of the Penn anomaloscope.Biomedical optics express · 2025
    Article
  3. Review
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

4 authors.

Dragos Rezeanu
James A Kuchenbecker
Maureen Neitz
Jay Neitz

Funding

Vision Research CoreP30EY001730 · NEI · UNIVERSITY OF WASHINGTON · PI JAMES Bryant HURLEY · 1985 to 2026
$23.5M
NEI NIH HHS P30 EY001730
6 · The paper itself

Abstract

Red-green color vision deficiency (CVD) is the most common single-locus genetic disorder in humans, but our ability to accurately diagnose the subtype and severity of red-green CVD in the clinic is limited. The most widely used diagnostic tools are subject to both Type I and Type II errors, while highly accurate tests are expensive, time-consuming, and not widely available. In this study, we present an iPhone-based color matching test that uses a combination of optics and software to achieve the diagnostic accuracy of an anomaloscope and the convenience of pseudoisochromatic plates. In validation testing, the device correctly diagnosed 100% of participants, as verified by genetic testing.

Indexed as

Color Perception TestsColor Vision DefectsSmartphoneAdultAgedFemaleHumansMaleMiddle AgedYoung Adult

Identifiers

PMID40793510
PMCPMC13105152

What OpenQuestion holds

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Registered trials

None linked

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.