CLASSIFICATION OF PATHOGENIC BACTERIA USING NEAR-INFRARED DIFFUSE REFLECTANCE SPECTROSCOPY

被引：2
|
作者：
Wang, Pin [1 ]
Wang, Jie [1 ]
Wang, Lirui [1 ]
Yin, Meifang [2 ]
Li, Yongming [1 ]
Wu, Jun [3 ]
机构：
[1] Chongqing Univ, Coll Commun Engn, Chongqing 400044, Peoples R China
[2] Third Mil Med Univ, Southwest Hosp, Inst Burn Res, Chongqing 400038, Peoples R China
[3] Sun Yat Sen Univ, Dept Burns, Affiliated Hosp 1, Guangzhou 510080, Guangdong, Peoples R China
来源：
JOURNAL OF APPLIED SPECTROSCOPY | 2019年 / 85卷 / 06期
基金：
中国国家自然科学基金;
关键词：
pathogenic bacteria; optical properties; near-infrared diffuse reflectance spectroscopy; particle swarm optimization; support vector machine; LABEL-FREE; RAPID IDENTIFICATION; COLONIZATION; INFECTION; CULTURE;
D O I：
10.1007/s10812-019-00755-y
中图分类号：
O433 [光谱学];
学科分类号：
0703 ; 070302 ;
摘要：
Near-infrared diffuse reflectance spectroscopy is proposed for the classfication of pathogenic bacteria using optical properties. The spectrally resolved data are analyzed using a diffuse reflectance model to extract the local optical properties, including the reduced scattering coefficient and absorption coefficient. The optical properties at different wavelengths form the feature set. A particle swarm optimization-based support vector machine is used to classify seven categories of bacteria. The experimental results demonstrate the feasibility of the method for the rapid and noninvasive classification of pathogenic bacteria using optical properties.
引用
收藏
页码：1029 / 1036
页数：8
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