Open AccessDual-type hyperspectral microscopic imaging for the identification and analysis of intestinal fungi
Author(s) -
Sifan Lin,
Xiaolin Bi,
Siqi Zhu,
Hao Yin,
Zhen Li,
Chenqiang Chen
Publication year - 2018
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.9.004496
Subject(s) - hyperspectral imaging , fluorescence , identification (biology) , transmission (telecommunications) , biological system , artificial intelligence , optics , biology , computer science , physics , botany , telecommunications
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.