Classification and Identification of Archaea Using Single-Cell Raman Ejection and Artificial Intelligence: Implications for Investigating Uncultivated Microorganisms-Reference-Cited by-同舟云学术

Classification and Identification of Archaea Using Single-Cell Raman Ejection and Artificial Intelligence: Implications for Investigating Uncultivated Microorganisms

Published:2021-12-15 Issue:51 Volume:93 Page:17012-17019
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Wang Yi¹^ORCID,Xu Jiabao²^ORCID,Cui Dongyu¹,Kong Lingchao³,Chen Songze¹,Xie Wei⁴⁵,Zhang Chuanlun¹⁶⁷

Affiliation:

1. Shenzhen Key Laboratory of Marine Archaea Geo-Omics, Southern University of Science and Technology, Shenzhen 518055, China

2. Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, U.K.

3. State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science & Engineering, Southern University of Science and Technology, Shenzhen 518055, China

4. School of Marine Science, Sun Yat-sen University, Zhuhai 519082, China

5. Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China

6. Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 510000, China

7. Shanghai Sheshan National Geophysical Observatory, Shanghai 200000, China

Funder

Ministry of Science and Technology of the People's Republic of China

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Shenzhen Key Laboratory of Marine Archaea Geo-Omics, Southern University of Science and Technology

Shenzhen Science and Technology Program

Publisher