Article

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

2022-07-06

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 bacte...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 65193f2d-b1bb-5a16-ac84-6f5e8ef0ed35
DOI: 10.21203/rs.3.rs-1797587/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Accurate and fast identification of minimally prepared bacteria phenotypes using Raman spectroscopy assisted by machine learningDOI 10.21203/rs.3.rs-1797587/v1Read

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

Identification and antimicrobial resistance profiling of Pseudomonas aeruginosa using multi-excitation Raman spectroscopy and computational analyticsSemantic proximity Read

Multi-excitation Raman Spectroscopy Complements Whole Genome Sequencing for Rapid Detection of Bacterial Infection and Resistance in WHO Priority PathogensSemantic proximity Read

Multimodal Raman-Gene Framework for Interpretable Phenotypic Antibiotic Resistance and Health Risk Stratification.Semantic proximity Read

Highly sensitive quantitative phase microscopy and deep learning complement whole genome sequencing for rapid detection of infection and antimicrobial resistanceSemantic proximity Read

Genotypic and Phenotypic Characterisation of Staphylococcus aureus Enterotoxins Using Single-Cell Raman Spectroscopy and Metabolomics.Semantic proximity Read

RamEx: an R package for high-throughput microbial ramanome analyses with accurate quality assessment.Semantic proximity Read

Surface-enhanced Raman spectroscopy for rapid sepsis recognition and pathogen identification from blood cultures using super operational neural networksSemantic proximity Read

RamEx: An R package for high-throughput microbial ramanome analyses with accurate quality assessmentSemantic proximity Read

From Genotype to Phenotype: Raman Spectroscopy and Machine Learning for Label-Free Single-Cell Analysis.Semantic proximity Read

A Machine Learning-Based Raman Spectroscopic Assay for the Identification of Burkholderia mallei and Related SpeciesSemantic proximity Read

Automated and rapid identification of multidrug resistant Escherichia coli against the lead drugs of acylureidopenicillins, cephalosporins, and fluoroquinolones using specific Raman marker bandsSemantic proximity Read