Changchun Institute of Optics,Fine Mechanics and Physics,CAS
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
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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 |
URL | 查看原文 |
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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