Literature DB >> 35299329

Potential value of color vision aids for varying degrees of color vision deficiency.

Dragos Rezeanu, Rachel Barborek, Maureen Neitz, Jay Neitz.   

Abstract

Red-green color vision deficiency (CVD) is the most common single locus genetic disorder in humans, affecting approximately 8% of males and 0.4% of females [G. H. M. Waaler, Acta Ophthalmol.5, 309 (2009)10.1111/j.1755-3768.1927.tb01016.x]; however, only about 1/4 of CVD individuals are dichromats who rely on only two cone types for color vision. The remaining 3/4 are anomalous trichromats whose CVD is milder, being based on three cone types, and who still perform remarkably well on many color-based tasks. To illustrate this, we have developed an algorithm that computes the relative loss of color discrimination in red-green CVD individuals with varying degrees of deficiency and accurately simulates their color experience for color normal observers. The resulting simulation illustrates the large gap in color discrimination between dichromats and even the most severe anomalous trichromats, showing that, relative to dichromats, the majority of anomalous trichromats can function without aids for color vision deficiency.

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Year:  2022        PMID: 35299329      PMCID: PMC8970702          DOI: 10.1364/OE.451331

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  19 in total

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Authors:  M Neitz; J Neitz
Journal:  Arch Ophthalmol       Date:  2000-05

2.  Computerized simulation of color appearance for dichromats.

Authors:  H Brettel; F Viénot; J D Mollon
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  1997-10       Impact factor: 2.129

3.  Computerized simulation of color appearance for anomalous trichromats using the multispectral image.

Authors:  Hirohisa Yaguchi; Junyan Luo; Miharu Kato; Yoko Mizokami
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2018-04-01       Impact factor: 2.129

4.  Simulations of adaptation and color appearance in observers with varying spectral sensitivity.

Authors:  Michael A Webster; Igor Juricevic; Kyle C McDermott
Journal:  Ophthalmic Physiol Opt       Date:  2010-09       Impact factor: 3.117

5.  Evaluation of an updated HRR color vision test.

Authors:  James E Bailey; Maureen Neitz; Diane M Tait; Jay Neitz
Journal:  Vis Neurosci       Date:  2004 May-Jun       Impact factor: 3.241

6.  A physiologically-based model for simulation of color vision deficiency.

Authors:  Gustavo M Machado; Manuel M Oliveira; Leandro A F Fernandes
Journal:  IEEE Trans Vis Comput Graph       Date:  2009 Nov-Dec       Impact factor: 4.579

7.  Luminance noise and the rapid determination of discrimination ellipses in colour deficiency.

Authors:  B C Regan; J P Reffin; J D Mollon
Journal:  Vision Res       Date:  1994-05       Impact factor: 1.886

8.  Adaptation and perceptual norms in color vision.

Authors:  Michael A Webster; Deanne Leonard
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2008-11       Impact factor: 2.129

9.  Neurobiological hypothesis of color appearance and hue perception.

Authors:  Brian P Schmidt; Maureen Neitz; Jay Neitz
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2014-04-01       Impact factor: 2.129

10.  Genetic Testing as a New Standard for Clinical Diagnosis of Color Vision Deficiencies.

Authors:  Candice Davidoff; Maureen Neitz; Jay Neitz
Journal:  Transl Vis Sci Technol       Date:  2016-09-06       Impact factor: 3.283

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  1 in total

1.  Coloured filters can simulate colour deficiency in normal vision but cannot compensate for congenital colour vision deficiency.

Authors:  Leticia Álvaro; João M M Linhares; Monika A Formankiewicz; Sarah J Waugh
Journal:  Sci Rep       Date:  2022-07-01       Impact factor: 4.996

  1 in total

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