Classification of deep-sea cold seep bacteria by transformer combined with Raman spectroscopy

doi:10.1038/s41598-023-28730-w

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	Classification of deep-sea cold seep bacteria by transformer combined with Raman spectroscopy
	B. Liu; K. X. Liu; X. Q. Qi; W. J. Zhang and B. Li
	2023
发表期刊	Scientific Reports
ISSN	2045-2322
卷号	13 期号:1 页码:7
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%.
DOI	10.1038/s41598-023-28730-w
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收录类别	sci
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67681
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	B. Liu,K. X. Liu,X. Q. Qi,et al. Classification of deep-sea cold seep bacteria by transformer combined with Raman spectroscopy[J]. Scientific Reports,2023,13(1):7.
APA	B. Liu,K. X. Liu,X. Q. Qi,&W. J. Zhang and B. Li.(2023).Classification of deep-sea cold seep bacteria by transformer combined with Raman spectroscopy.Scientific Reports,13(1),7.
MLA	B. Liu,et al."Classification of deep-sea cold seep bacteria by transformer combined with Raman spectroscopy".Scientific Reports 13.1(2023):7.

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