Work

iPhone-based anomaloscope for accessible, accurate color vision testing

Year: 2024

Type: article

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.

Source: Journal of the Optical Society of America A

DOI: 10.1364/josaa.545284

Authors: Dragos Rezeanu, James A. Kuchenbecker, Maureen Neitz, Jay Neitz

Institution: University of Washington

Language: English

Topic: Color Science and Applications

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Research to Prevent Blindness, National Eye Institute