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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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Related Experiment Video

Updated: May 26, 2026

Stress-induced Antibiotic Susceptibility Testing on a Chip

Stress-induced Antibiotic Susceptibility Testing on a Chip

Published on: January 8, 2014

Next-generation rapid phenotypic antimicrobial susceptibility testing.

Grace Reszetnik^1,2, Keely Hammond³, Sara Mahshid¹

¹Department of Bioengineering, Faculty of Engineering, McGill University, Montreal, Quebec, Canada.

Nature Communications

|November 9, 2024

Summary

This summary is machine-generated.

Rapid antimicrobial susceptibility testing (AST) methods are crucial for faster diagnostics, especially in low-resource settings. This review guides developers and clinicians through emerging rapid AST technologies and their validation.

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Area of Science:

Clinical microbiology
Diagnostic technology development

Background:

Conventional clinical bacteriology implementation is slow in low-resource settings.
There is a growing demand for faster antimicrobial susceptibility testing (AST).

Purpose of the Study:

To systematically review and characterize next-generation rapid AST technologies.
To provide a guide for understanding the rapid phenotypic AST landscape.

Main Methods:

Systematic synthesis of publications and regulatory submissions.
Characterization of over ninety technologies based on innovation, readiness level, validation, and time-to-results.

Main Results:

Over ninety rapid phenotypic AST technologies were identified and characterized.
Details on technical innovations, clinical validation, and performance metrics were compiled.

Conclusions:

The review maps the current landscape of rapid phenotypic AST technologies.
It offers guidance on development pipelines and validation milestones for new AST methods.