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A Deep-Learning Based System for Rapid Genus Identification of Pathogens under Hyperspectral Microscopic Images
Tao, Chenglong1,2,3; Du, Jian1,3; Tang, Yingxin4; Wang, Junjie1,2; Dong, Ke5; Yang, Ming5; Hu, Bingliang1,3; Zhang, Zhoufeng1,3
作者部门光谱成像技术研究室
2022-07
发表期刊CELLS
ISSN2073-4409
卷号11期号:14
产权排序1
摘要

Infectious diseases have always been a major threat to the survival of humanity. Additionally, they bring an enormous economic burden to society. The conventional methods for bacteria identification are expensive, time-consuming and laborious. Therefore, it is of great importance to automatically rapidly identify pathogenic bacteria in a short time. Here, we constructed an AI-assisted system for automating rapid bacteria genus identification, combining the hyperspectral microscopic technology and a deep-learning-based algorithm Buffer Net. After being trained and validated in the self-built dataset, which consists of 11 genera with over 130,000 hyperspectral images, the accuracy of the algorithm could achieve 94.9%, which outperformed 1D-CNN, 2D-CNN and 3D-ResNet. The AI-assisted system we developed has great potential in assisting clinicians in identifying pathogenic bacteria at the single-cell level with high accuracy in a cheap, rapid and automatic way. Since the AI-assisted system can identify the pathogenic genus rapidly (about 30 s per hyperspectral microscopic image) at the single-cell level, it can shorten the time or even eliminate the demand for cultivating. Additionally, the system is user-friendly for novices.

关键词infectious pathogens hyperspectral microscopy bacteria identification artificial intelligence imaging genus spectral characteristics
DOI10.3390/cells11142237
收录类别SCI
语种英语
WOS记录号WOS:000833722700001
出版者MDPI
引用统计
被引频次:9[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/96084
专题光谱成像技术研究室
通讯作者Hu, Bingliang; Zhang, Zhoufeng
作者单位1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Key Lab Biomed Spect Xian, Xian 710119, Peoples R China
4.Independent Researcher, Changsha 410000, China;
5.Air Force Mil Med Univ, Affiliated Hosp 2, Xian 710119, Peoples R China
推荐引用方式
GB/T 7714
Tao, Chenglong,Du, Jian,Tang, Yingxin,et al. A Deep-Learning Based System for Rapid Genus Identification of Pathogens under Hyperspectral Microscopic Images[J]. CELLS,2022,11(14).
APA Tao, Chenglong.,Du, Jian.,Tang, Yingxin.,Wang, Junjie.,Dong, Ke.,...&Zhang, Zhoufeng.(2022).A Deep-Learning Based System for Rapid Genus Identification of Pathogens under Hyperspectral Microscopic Images.CELLS,11(14).
MLA Tao, Chenglong,et al."A Deep-Learning Based System for Rapid Genus Identification of Pathogens under Hyperspectral Microscopic Images".CELLS 11.14(2022).
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