Color vision tests can give information about pathological changes in eye structures. The purpose of our research was to study the color vision sensitivity and visual acuity changes before and after cataract surgery. We used a saturated Farnsworth D15 color vision arrangement test to check color sensitivity changes in confusion line directions. The test is easily perceptible (essential to eldery patients), and it is possible to check color sensitivity changes in tritan, protan, and deutan confusion line directions. The results were analyzed in several ways: by summing the color differences between adjacent caps according to Bowman and averaging the color difference vectors according to Vingrys and King–Smith. Color difference vectors determine the severity (or confusion), selectivity (or scatter), and type of color deficiency to the presented cap arrangements. In the least squares regression method, the error type is determined by the angular proximity of the best-fit line to known confusion axes representing protan, deutan, tritan, or unspecified color defects. All three tests showed that cataract-induced lens opacity significantly decreases a patient’s chromatic resolution in the visible light region. Before the cataract surgery, the D15 test stimulus arrangement sequence showed similarities with tritan color deficiency.
Most precise classification of CVD (color vision deficits) can be provided by using anomaloscope. Today anomaloscopes are available, which can evaluate red-green (Rayleigh) and blue-green (Moreland) color defects.
Color arrangement tests such as the D15 test can be used to detect congenital and acquired color vision defects. However, the D15 test cannot be used as the only test to assess color vision because of its relatively low sensitivity in less severe cases of color vision deficiency. In this study, we attempted to determine D15 cap arrangements for red/green anomalous trichromats with varying degrees of severity of color vision deficiency. The color coordinates of D15 test caps corresponding to a particular type and severity of color vision deficiency were determined using the model proposed by Yaguchi et al. [J. Opt. Soc. Am. A 35, B278 (2018)JOAOD60740-323210.1364/JOSAA.35.00B278]. The arrangement of the color caps was modeled by assuming that individuals with color vision deficiency would arrange the D15 test caps judging by color differences perceived by them. The proposed simulation correctly predicts the increase in severity of color vision deficiency with spectral reduction between the L- and M-cone photopigments. The type of color vision deficiency is correctly predicted with few exceptions in protanomalous trichromats.
The current study reports on a novel computerised colour vision test employing static and dynamic stimuli. The aim of the study was to assess if static and dynamic stimuli result in comparable chromatic discrimination thresholds when participant’s age is taken into account. Participants (n = 20) were 21 to 77 years old, had normal colour vision and no history of any eye disease. They all participated in two sessions estimating chromatic sensitivity with static and dynamic stimuli, respectively, with six directions in colour space varying either along the red-green (RG) or yellow- blue (YB) directions. We found no significant differences in chromatic thresholds along a tritan axis obtained with static and dynamic stimuli. However, along protan and deitan axes, chromatic thresholds were lower if estimated using static stimuli than those estimated using the dynamic stimuli. As anticipated, chromatic sensitivity decreased with age and with greater chromatic sensitivity loss along the tritan confusion line. Research results suggest that differences between chromatic thresholds measured with static and dynamic stimuli become more apparent with increasing age of study participant.
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