Suppr超能文献

用于肠道真菌鉴定与分析的双模式高光谱显微成像

Dual-type hyperspectral microscopic imaging for the identification and analysis of intestinal fungi.

作者信息

Lin Sifan, Bi Xiaolin, Zhu Siqi, Yin Hao, Li Zhen, Chen Chenqiang

机构信息

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.

出版信息

Biomed Opt Express. 2018 Aug 27;9(9):4496-4508. doi: 10.1364/BOE.9.004496. eCollection 2018 Sep 1.

Abstract

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.

摘要

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%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80d0/6157763/b38e187f20d5/boe-9-9-4496-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验