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Article

Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learning.

Scientific reports - 30 Sept 2022

Thomsen Benjamin Lundquist, Christensen Jesper B, Rodenko Olga, Usenov Iskander, Grønnemose Rasmus Birkholm, Andersen Thomas Emil, Lassen Mikael

Abstract excerpt

The worldwide increase of antimicrobial resistance (AMR) is a serious threat to human health. To avert the spread of AMR, fast reliable diagnostics tools that facilitate optimal antibiotic stewardship are an unmet need. In this regard, Raman spectroscopy promises rapid label- and culture-free identification and antimicrobial susceptibility testing (AST) in a single step. However, even though many Raman-based...

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PMID: 36180775
DOI: 10.1038/s41598-022-20850-z
PMCID: PMC9524333

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