Classification of deep-sea cold seep bacteria by transformer combined with Raman spectroscopy
Liu, Bo2,3; Liu, Kunxiang2,3; Qi, Xiaoqing1; Zhang, Weijia1; Li, Bei2,3
刊名SCIENTIFIC REPORTS
2023-02-24
卷号13期号:1
文献子类期刊论文
英文摘要Raman spectroscopy is a rapid analysis method of biological samples without labeling and destruction. At present, the commonly used Raman spectrum classification models include CNN, RNN, etc. The transformer has not been used for Raman spectrum identification. This paper introduces a new method of transformer combined with Raman spectroscopy to identify deep-sea cold seep microorganisms at the single-cell level. We collected the Raman spectra of eight cold seep bacteria, each of which has at least 500 spectra for the training of transformer model. We compare the transformer classification model with other deep learning classification models. The experimental results show that this method can improve the accuracy of microbial classification. Our average isolation level accuracy is more than 97%.
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000942280900030
内容类型期刊论文
版本出版稿
源URL[http://ir.idsse.ac.cn/handle/183446/10155]  
专题深海科学研究部_深海生物学研究室_深海微生物细胞生物学研究组
作者单位1.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya 572000, Hainan, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
3.Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, State Key Lab Appl Opt, Changchun 130033, Peoples R China;
推荐引用方式
GB/T 7714
Liu, Bo,Liu, Kunxiang,Qi, Xiaoqing,et al. Classification of deep-sea cold seep bacteria by transformer combined with Raman spectroscopy[J]. SCIENTIFIC REPORTS,2023,13(1).
APA Liu, Bo,Liu, Kunxiang,Qi, Xiaoqing,Zhang, Weijia,&Li, Bei.(2023).Classification of deep-sea cold seep bacteria by transformer combined with Raman spectroscopy.SCIENTIFIC REPORTS,13(1).
MLA Liu, Bo,et al."Classification of deep-sea cold seep bacteria by transformer combined with Raman spectroscopy".SCIENTIFIC REPORTS 13.1(2023).
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