Hyperspectral microscope imaging methods for multiplex detection of Campylobacter

Q3 Chemistry
B. Park, M. Eady, B. Oakley, S. Yoon, K. Lawrence, G. Gamble
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引用次数: 4

Abstract

Campylobacter is an emerging zoonotic bacterial threat in the poultry industry. The current methods for the isolation and detection of Campylobacter are culture-based techniques with several selective agars designed to isolate Campylobacter colonies, which is time-consuming, labour intensive and has low sensitivity. Several immunological and molecular techniques such as enzyme-linked immunosorbent assay (ELISA) and Latex agglutination are commercially available for the detection and identification of Campylobacter. However, these methods demand more advanced instruments as well as specially trained experts. A hyperspectral microscope imaging (HMI) technique with the fluorescence in situ hybridisation (FISH) technique has the potential for multiplex foodborne pathogen detection. Using Alexa488 and Cy3 fluorophores, the HMI (450–800 nm) technique was able to identify Campylobacter jejuni stains with high sensitivity and specificity. In addition, HMI was able to classify six bacteria using scattering intensity from their spectra without a FISH fluorophore. Overall classification accuracy of quadratic discriminant analysis (QDA) method for six bacteria including Bifidobacter longum, Campylobacter jejuni, Clostridium perfringens, Enterobacter cloacae, Lactobacillus salivarius and Shigella flexneri using the HMI technique without fluorescent markers was approximately 88.6 % with pixel-wise classification.
弯曲杆菌多重检测的高光谱显微镜成像方法
弯曲杆菌是家禽业中一种新出现的人畜共患细菌威胁。目前分离和检测弯曲杆菌的方法是基于培养的技术,使用几种选择性琼脂来分离弯曲杆菌菌落,这耗时、劳动密集且灵敏度低。几种免疫学和分子技术,如酶联免疫吸附试验(ELISA)和乳胶凝集,可用于弯曲杆菌的检测和鉴定。然而,这些方法需要更先进的仪器以及经过专门培训的专家。高光谱显微镜成像(HMI)技术与荧光原位杂交(FISH)技术具有检测多种食源性病原体的潜力。使用Alexa488和Cy3荧光团,HMI(450–800 nm)技术能够以高灵敏度和特异性鉴定空肠弯曲杆菌菌株。此外,HMI能够在没有FISH荧光团的情况下使用光谱的散射强度对六种细菌进行分类。二次判别分析(QDA)方法对包括长双歧杆菌、空肠弯曲杆菌、产气荚膜梭状芽孢杆菌、阴沟肠杆菌、唾液乳杆菌和福氏志贺菌在内的六种细菌在没有荧光标记的HMI技术下进行的像素分类的总分类准确率约为88.6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Spectral Imaging
Journal of Spectral Imaging Chemistry-Analytical Chemistry
CiteScore
3.90
自引率
0.00%
发文量
11
审稿时长
22 weeks
期刊介绍: JSI—Journal of Spectral Imaging is the first journal to bring together current research from the diverse research areas of spectral, hyperspectral and chemical imaging as well as related areas such as remote sensing, chemometrics, data mining and data handling for spectral image data. We believe all those working in Spectral Imaging can benefit from the knowledge of others even in widely different fields. We welcome original research papers, letters, review articles, tutorial papers, short communications and technical notes.
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