Lin Sifan, Bi Xiaolin, Zhu Siqi, Yin Hao, Li Zhen, Chen Chenqiang
Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Guangzhou 510632, China.
Guangdong Provincial Engineering Research Center of Crystal and Laser Technology, Guangzhou 510632, China.
Biomed Opt Express. 2018 Aug 27;9(9):4496-4508. doi: 10.1364/BOE.9.004496. eCollection 2018 Sep 1.
A method based on a dual-type (transmission and fluorescence) hyperspectral microscopic image system was developed to identify species of intestinal fungi. Living fungi are difficult to identify via transmission spectra or fluorescence spectra alone. We propose an identification method based on both fluorescence and transmission spectra that employs a series of image processing methods. Three species of intestinal fungi were used to evaluate the method. The results demonstrate that the specificity of the model trained with dual-type spectra was 98.36%, whereas the specificities achieved by training with fluorescence spectra and transmission spectra alone were 94.04% and 92.88%, respectively.
开发了一种基于双类型(透射和荧光)高光谱显微图像系统的方法来鉴定肠道真菌的种类。仅通过透射光谱或荧光光谱很难鉴定活真菌。我们提出了一种基于荧光和透射光谱的鉴定方法,该方法采用了一系列图像处理方法。使用三种肠道真菌来评估该方法。结果表明,用双类型光谱训练的模型的特异性为98.36%,而仅用荧光光谱和透射光谱训练所达到的特异性分别为94.04%和92.88%。