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Automated Microbial Diagnostics

Automated Microbial Diagnostics

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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Updated: Jun 26, 2026

Gramicidin-based Fluorescence Assay; for Determining Small Molecules Potential for Modifying Lipid Bilayer Properties

Gramicidin-based Fluorescence Assay; for Determining Small Molecules Potential for Modifying Lipid Bilayer Properties

Published on: October 13, 2010

A Live Bacterial Screening Assay for Membrane-Active Antimicrobial Compounds Using Imaging Fluorescence Correlation

Shiwen Zhu^1,2, Yu Wang³, Shi Min Sherilyn Chong³

¹Centre for BioImaging Sciences, National University of Singapore, Singapore 117557, Singapore.

Analytical Chemistry

|April 30, 2025

Summary

This summary is machine-generated.

A new method uses imaging total internal reflection-fluorescence correlation spectroscopy (ITIR-FCS) to rapidly screen antimicrobial compounds targeting bacterial membranes. This technique offers faster and more sensitive detection of antibacterial activity compared to traditional assays.

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Last Updated: Jun 26, 2026

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Published on: November 29, 2017

Area of Science:

Microbiology
Biophysics
Analytical Chemistry

Background:

Growing demand for novel antimicrobial agents in personal hygiene for antibacterial ingredients and preservatives.
Bacterial membranes are attractive antimicrobial targets due to conserved structures.
Existing antimicrobial screening methods are time-consuming, necessitating rapid screening techniques.

Purpose of the Study:

To develop and validate a rapid screening methodology for antimicrobial compounds targeting bacterial membranes.
To assess the efficacy of antimicrobial compounds by monitoring bacterial membrane dynamics.
To establish a high-throughput screening approach for new antibacterial agents.

Main Methods:

Integration of imaging total internal reflection-fluorescence correlation spectroscopy (ITIR-FCS) with an automated cell segmentation algorithm.
Monitoring of bacterial membrane dynamics in response to varying antimicrobial concentrations and incubation times.
Quantitative analysis of membrane activity to generate dose-response curves.

Main Results:

The combined ITIR-FCS and segmentation method allows for the assessment of membrane activity within 30 minutes.
Dose-response curves for antimicrobial compounds can be generated within 2 hours.
The technique detects antimicrobial activity at lower concentrations and is an order of magnitude faster than conventional susceptibility assays.

Conclusions:

ITIR-FCS combined with automated segmentation provides a rapid and sensitive platform for screening antimicrobial compounds.
This method accelerates the discovery of new antibacterial agents targeting bacterial membranes.
The developed technique addresses the need for efficient screening in the personal hygiene and pharmaceutical industries.