Classification of deep-sea cold seep bacteria by transformer combined with Raman spectroscopy.
Sci Rep
; 13(1): 3240, 2023 02 24.
Article
em En
| MEDLINE
| ID: mdl-36828824
ABSTRACT
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%.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Análise Espectral Raman
/
Bactérias
Idioma:
En
Revista:
Sci Rep
Ano de publicação:
2023
Tipo de documento:
Article