首页> 外文期刊>Journal of the Optical Society of America, A. Optics, image science, and vision >Laser-induced autofluorescence assisted by multivariate techniques discriminates a cataractous lens from healthy lens tissues of Sprague-Dawley rats
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Laser-induced autofluorescence assisted by multivariate techniques discriminates a cataractous lens from healthy lens tissues of Sprague-Dawley rats

机译:通过多变量技术辅助激光诱导的自发荧光,从Sprague-Dawley大鼠的健康透镜组织中辨别多态镜片

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摘要

Laser-induced autofluorescence (LIAF), combined with multivariate techniques, has been used to discriminate a cataractous lens from healthy lens tissues. In this study, 405 nm and 445 nm were used as excitation sources to induce the autofluorescence. Results show higher autofluorescence intensity in cataractous lens tissues than in healthy ones. Cataractous lens tissues show a red shift of 0.9 nm and 1.2 nm at 405 nm and 445 nm excitations, respectively. Using principal component analysis (PCA), three principal components (PCs) gave more than 99% variability for both 405 nm and 445 nm excitation sources. Based on the three PCs, Fisher's linear discriminant model was developed. An accuracy of 100% was obtained in classifying the lens tissues using Fisher's linear discriminant analysis (FLDA). The LIAF technique assisted by PCA and FLDA may be used for objective discrimination of cataractous lens from healthy lens tissues of Sprague-Dawley rats. (C) 2020 Optical Society of America
机译:激光诱导的自发荧光(LIAF)与多变量技术相结合,已被用于辨别来自健康透镜组织的白线镜片。 在本研究中,使用405nm和445nm作为激发源以诱导自发荧光。 结果表明白线镜片组织中的自发荧光强度高于健康镜片组织。 白线透镜组织分别显示出0.9nm和1.2nm的红色偏移,分别为405nm和445nm激发。 使用主成分分析(PCA),三个主要成分(PCS)对于405nm和445nm激励源给出了99%以上的变化。 基于三台PC,开发了Fisher的线性判别模型。 在使用Fisher的线性判别分析(FLDA)分类晶状体组织时获得100%的精度。 由PCA和FLDA辅助的LIAF技术可用于来自Sprague-Dawley大鼠的健康透镜组织的白线镜片的客观辨别。 (c)2020美国光学学会

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