多光谱成像与多元分析相结合区分亚硒酸盐诱导的Sprague-Dawley大鼠白内障与健康晶状体

P. O. Adueming, M. J. Eghan, B. Anderson, S. Kyei, Jerry Opoku-Ansah, C. Amuah, S. S. Sackey, P. Buah-Bassuah
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引用次数: 4

摘要

白内障是全世界致盲的主要原因。目前在临床前研究中区分Sprague-Dawley大鼠白内障晶状体和健康晶状体的方法是基于组织病理学或临床评估的,这些评估因主观性而减弱。在这项工作中,使用多光谱成像技术结合多元分析对Sprague-Dawley大鼠的白内障和健康晶状体组织进行了研究。在透射、反射和散射模式下拍摄了多光谱图像。总共有五个光谱带被发现是区分白内障晶状体和健康晶状体的标志物;470nm和625nm而在透射模式中区分435nm、590nm和700nm。采用Fisher线性判别分析法,对健康晶状体白内障进行分类的中点分别为14.718×10-14和3.2374×10-14,其中反射模式下的两个光谱带和透射模式下的三个光谱带的中点。散射模式下的图像没有显示出显著的区别。反射和透射模式下的这些光谱带可能为区分白内障晶状体和健康晶状体提供潜在的诊断标记,从而有望在多光谱成像应用中表征白内障和健康晶状体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multispectral Imaging in Combination with Multivariate Analysis Discriminates Selenite Induced Cataractous Lenses from Healthy Lenses of Sprague-Dawley Rats
Cataracts are the leading cause of blindness worldwide. Current methods for discriminating cataractous lenses from healthy lenses of Sprague-Dawley rats during preclinical studies are based on either histopathological or clinical assessments which are weakened by subjectivity. In this work, both cataractous and healthy lens tissues of Sprague-Dawley rats were studied using multispectral imaging technique in combination with multivariate analysis. Multispectral images were captured in transmission, reflection and scattering modes. In all, five spectral bands were found to be markers for discriminating cataractous lenses from healthy lenses; 470 nm and 625 nm discriminated in reflection mode whereas 435 nm, 590 nm and 700 nm discriminated in transmission mode. With Fisher’s Linear discriminant analysis, the midpoints for classifying cataractous from healthy lenses were found to be 14.718 × 10−14 and 3.2374 × 10−14 for the two spectra bands in the reflection mode and the three spectral bands in the transmission mode respectively. Images in scattering mode did not show significant discrimination. These spectral bands in reflection and transmission modes may offer potential diagnostic markers for discriminating cataractous lenses from healthy lenses thereby promising multispectral imaging applications for characterizing cataractous and healthy lenses.
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