Culture-Independent Raman Spectroscopic Identification of Bacterial Pathogens from Clinical Samples Using Deep Transfer Learning-Reference-Cited by-同舟云学术

Culture-Independent Raman Spectroscopic Identification of Bacterial Pathogens from Clinical Samples Using Deep Transfer Learning

Published:2022-10-10 Issue:42 Volume:94 Page:14745-14754
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Singh Saumya¹^ORCID,Kumbhar Dipak¹^ORCID,Reghu Dhanya¹,Venugopal Shwetha J.²,Rekha P. T.¹,Mohandas Silpa²,Rao Shruti²,Rangaiah Ambica²,Chunchanur Sneha K.²,Saini Deepak Kumar³⁴⁵^ORCID,Umapathy Siva¹⁶^ORCID

Affiliation:

1. Department of Inorganic and Physical Chemistry, Indian Institute of Science, Bangalore 560012, India

2. Department of Microbiology, Bangalore Medical College and Research Institute, Bangalore 560002, India

3. Department of Molecular Reproduction and Genetics, Indian Institute of Science, Bangalore 560012, India

4. Center for Biosystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India

5. Center for Infectious Diseases Research, Indian Institute of Science, Bangalore 560012, India

6. Department of Instrumentation and Applied Physics, Indian Institute of Science, Bangalore 560012, India

Funder

Indian Institute of Science

Department of Science and Technology, Ministry of Science and Technology, India

Rajiv Gandhi University of Health Sciences

Council for Scientific and Industrial Research

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.2c03391

Reference51 articles.

1. Bactericidal potential of silver-tolerant bacteria derived silver nanoparticles against multi drug resistant ESKAPE pathogens

2. Direct identification of clinically relevant bacterial and yeast microcolonies and macrocolonies on solid culture media by Raman spectroscopy

3. Biochemical identification techniques and antibiotic susceptibility profile of lipolytic ambiental bacteria from effluents

4. Collins and Lyne’s Microbiological Methods

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