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  4. 海岸带生物学与生物资源利用重点实验室
Classification of pathogens by Raman spectroscopy combined with generative adversarial networks

文献类型：期刊论文

作者Yu, Shixiang1,3; Li, Hanfei1,2; Li, Xin1,3; Fu, Yu Vincent2; Liu, Fanghua3,4,5
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2020-07-15
卷号726页码:9
关键词Classification Generative adversarial network Pathogens Raman spectroscopy
ISSN号0048-9697
DOI10.1016/j.scitotenv.2020.138477
通讯作者Fu, Yu Vincent(fuyu@im.ac.cn) ; Liu, Fanghua(fhliu@yic.ac.cn)
英文摘要Rapid identification of marine pathogens is very important in marine ecology. Artificial intelligence combined with Raman spectroscopy is a promising choice for identifying marine pathogens due to its rapidity and efficiency. However, considering the cost of sample collection and the challenging nature of the experimental environment, only limited spectra are typically available to build a classification model, which hinders qualitative analysis. In this paper, we propose a novel method to classify marine pathogens by means of Raman spectroscopy combined with generative adversarial networks (GANs). Three marine strains, namely, Staphylococcus hominis, Vibrio alginolyticus, and Bacillus licheniformis, were cultured. Using Raman spectroscopy, we acquired 100 spectra of each strain, and we fitted them into GAN models for training. After 30,000 training iterations, the spectra generated by G were similar to the actual spectra, and D was used to test the accuracy of the spectra. Our results demonstrate that our method not only improves the accuracy of machine learning classification but also solves the problem of requiring a large amount of training data. Moreover, we have attempted to find potential identifying regions in the Raman spectra that can be used for reference in subsequent related work in this field. Therefore, this method has tremendous potential to be developed as a tool for pathogen identification. (C) 2020 Elsevier B.V. All rights reserved.
WOS关键词CONVOLUTIONAL NEURAL-NETWORKS ; BACTERIA ; IDENTIFICATION ; BLOOD
资助项目Chinese Academy of Sciences[XDA22050301] ; Training Program of the Major Research Plan of the National Natural Science Foundation of China[91751112] ; Training Program of the Major Research Plan of the National Natural Science Foundation of China[91751103] ; Young Taishan Scholars Program of Shandong Province[tsqn20161054] ; GDAS' Project of Science and Technology Development[2019GDASYL-0102003] ; GDAS' Project of Science and Technology Development[2020GDASYL-20200402003] ; Guangdong Foundation for Program of Science and Technology Research[2019B121205006]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000537422600002
资助机构Chinese Academy of Sciences ; Training Program of the Major Research Plan of the National Natural Science Foundation of China ; Young Taishan Scholars Program of Shandong Province ; GDAS' Project of Science and Technology Development ; Guangdong Foundation for Program of Science and Technology Research
源URL[http://ir.yic.ac.cn/handle/133337/28736]  
专题海岸带生物学与生物资源利用重点实验室
烟台海岸带研究所_海岸带生物学与生物资源利用所重点实验室
通讯作者Fu, Yu Vincent; Liu, Fanghua
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Microbiol, State Key Lab Microbial Resources, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Key Lab Coastal Biol & Biol Resources Utilizat, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
4.Guangdong Acad Sci, Guangdong Inst Ecoenvironm Sci & Technol, Guangdong Key Lab Integrated Agroenvironm Pollut, Natl Reg Joint Engn Res Ctr Soil Pollut Control &, Guangzhou 510650, Peoples R China
5.Chinese Acad Sci, Guangzhou Inst Geochem, Guangdong Hong Kong Macao Joint Lab Environm Poll, Guangzhou 510640, Peoples R China
推荐引用方式
GB/T 7714		 Yu, Shixiang,Li, Hanfei,Li, Xin,et al. Classification of pathogens by Raman spectroscopy combined with generative adversarial networks[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2020,726:9.
APA Yu, Shixiang,Li, Hanfei,Li, Xin,Fu, Yu Vincent,&Liu, Fanghua.(2020).Classification of pathogens by Raman spectroscopy combined with generative adversarial networks.SCIENCE OF THE TOTAL ENVIRONMENT,726,9.
MLA Yu, Shixiang,et al."Classification of pathogens by Raman spectroscopy combined with generative adversarial networks".SCIENCE OF THE TOTAL ENVIRONMENT 726(2020):9.

入库方式： OAI收割

来源：烟台海岸带研究所

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