| 论文题目 | Classification of deep-sea cold seep bacteria by transformer combined with Raman spectroscopy |
| 论文题目（英文） | Classification of deep-sea cold seep bacteria by transformer combined with Raman spectroscopy |
| 作者 | Liu, Bo(1,2);Liu, Kunxiang(1,2);Qi, Xiaoqing(3);Zhang, Weijia(3);Li, Bei(1,2) |
| 发表年度 | 2023-02-24 |
| 卷 | 13 |
| 期 | 1 |
| 页码 | |
| 期刊名称 | SCIENTIFIC REPORTS |
| 摘要 | |
| 摘要_英文 | 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%. |
Copyright？中国科学院深海科学与工程研究所 备案证号：琼ICP备13001552号-1
琼公网安备 46020102000014号
地址: 三亚市鹿回头路28号 邮编：572000 网站维护：深海所办公室 邮箱：office@idsse.ac.cn
