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Related Concept Videos

Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

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Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...
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Antibiotic Selection00:57

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Rapid Antimicrobial Susceptibility Testing by Stimulated Raman Scattering Imaging of Deuterium Incorporation in a Single Bacterium
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The sampling bottleneck in antimicrobial susceptibility testing: consequences and paths forward.

Ivan Brukner1,2, Mathew Oughton1,2

  • 1Microbiology Laboratory, Jewish General Hospital, Montréal, Québec, Canada.

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|April 9, 2026
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Summary
This summary is machine-generated.

Standard antimicrobial susceptibility testing (AST) may miss low-frequency resistant bacteria. This limitation is crucial in immunocompromised patients and persistent infections, requiring complementary testing methods.

Keywords:
antimicrobial susceptibility testingfew-colony inoculum population analysis minority-resistant subpopulations CLSI/EUCAST referenceheteroresistanceimmunocompromised hosttherapeutic failure

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Area of Science:

  • Microbiology
  • Clinical Diagnostics
  • Antimicrobial Resistance

Background:

  • Conventional antimicrobial susceptibility testing (AST) relies on small bacterial inocula, potentially missing low-frequency resistant subpopulations within complex within-host environments.
  • While often clinically insignificant in immunocompetent hosts, these subpopulations can emerge in high-risk scenarios like persistent infections or in profoundly immunocompromised individuals.

Purpose of the Study:

  • To outline the biological basis of the sampling constraint in AST.
  • To identify clinical contexts where this limitation is most impactful.
  • To discuss adjunct strategies complementing standard AST.

Main Methods:

  • Review of biological principles underlying AST sampling limitations.
  • Analysis of clinical scenarios and patient populations at higher risk.
  • Discussion of population-based and sequencing-informed adjunct testing approaches.

Main Results:

  • Identified a sampling bottleneck in conventional AST due to small inocula.
  • Highlighted the clinical relevance of low-frequency resistant subpopulations in specific patient groups and infection types.
  • Proposed complementary diagnostic strategies to address AST limitations.

Conclusions:

  • Standard AST methods may not fully capture the complexity of within-host bacterial resistance.
  • Awareness of AST limitations is crucial for antimicrobial stewardship, especially in high-risk patients.
  • Targeted adjunct methods can enhance diagnostic accuracy in select clinical situations.