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Related Concept Videos

Color Vision01:24

Color Vision

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Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
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At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
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The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle...
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iPhone-based anomaloscope for accessible, accurate color vision testing.

Dragos Rezeanu, James A Kuchenbecker, Maureen Neitz

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |August 12, 2025
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    Summary

    A new iPhone app accurately diagnoses red-green color vision deficiency (CVD) subtypes and severity. This accessible tool matches the accuracy of clinical tests, improving diagnosis for this common genetic disorder.

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    Area of Science:

    • Ophthalmology
    • Genetics
    • Medical Diagnostics

    Background:

    • Red-green color vision deficiency (CVD) is a prevalent single-locus genetic disorder.
    • Current diagnostic methods for red-green CVD lack accuracy and accessibility.
    • Existing tools are prone to errors and can be costly or time-consuming.

    Purpose of the Study:

    • To develop and validate a convenient, accurate diagnostic tool for red-green CVD.
    • To create a mobile-based color matching test for clinical use.

    Main Methods:

    • An iPhone-based color matching test was developed using integrated optics and software.
    • The device's diagnostic performance was evaluated in validation testing.
    • Genetic testing was used to verify the accuracy of the diagnoses.

    Main Results:

    • The iPhone-based test achieved diagnostic accuracy comparable to traditional methods like the anomaloscope.
    • The device demonstrated high convenience, similar to pseudoisochromatic plates.
    • 100% of participants were correctly diagnosed by the device, confirmed by genetic testing.

    Conclusions:

    • The developed iPhone application offers a highly accurate and accessible method for diagnosing red-green CVD.
    • This technology has the potential to significantly improve the clinical diagnosis of color vision deficiencies.