Rezeanu Dragos, Kuchenbecker James A, Neitz Maureen, Neitz Jay
J Opt Soc Am A Opt Image Sci Vis. 2025 May 1;42(5):B34-B42. doi: 10.1364/JOSAA.545284.
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.
红绿色觉缺陷（CVD）是人类最常见的单基因座遗传病，但我们在临床上准确诊断红绿色CVD亚型和严重程度的能力有限。最常用的诊断工具存在I型和II型错误，而高精度测试成本高、耗时且不易广泛获取。在本研究中，我们展示了一种基于iPhone的颜色匹配测试，该测试结合了光学和软件，以实现检色镜的诊断准确性和假同色图的便利性。在验证测试中，经基因检测验证，该设备正确诊断了100%的参与者。
