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Automated Microbial Diagnostics01:24

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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 10, 2026

Direct Microbial Identification using An Automated Microbial Identification System to Facilitate the EUCAST RAST Method Without Mass Spectrometry
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Total viable bacterial count using a real time all-fibre spectroscopic system.

E Bogomolny1, S Swift, F Vanholsbeeck

  • 1Department of Physics, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

The Analyst
|June 5, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a novel optical system for rapid bacterial detection in water. The computerized prototype offers higher accuracy and faster results than traditional methods, enabling near real-time bacterial enumeration.

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Published on: October 23, 2011

Area of Science:

  • Environmental microbiology
  • Optical sensing technologies
  • Water quality monitoring

Background:

  • Accurate bacterial enumeration is crucial for environmental research.
  • Standard methods like heterotrophic plate count are time-consuming (1-8 days) and less accurate.
  • Existing rapid techniques are often costly and require specialized equipment.

Purpose of the Study:

  • To develop and evaluate a computerized optical prototype for bacterial detection.
  • To assess the system's potential for Total Viable Bacterial Count (TVBC) in water samples.
  • To compare the performance of the optical system against standard bacterial counting methods.

Main Methods:

  • Development of an all-fibre optical system utilizing fluorescence enhanced by nucleic acid staining.
  • Employment of a diode-pumped solid-state laser and a CCD spectrometer for high sensitivity detection.
  • In situ excitation and signal collection for bacterial enumeration.
  • Application of multivariate analysis for data interpretation.

Main Results:

  • The optical system demonstrated higher accuracy and significantly shorter detection times compared to standard methods.
  • Relative standard deviation for the optical system ranged from 21-36%, versus 41-59% for heterotrophic plate count.
  • The system effectively detected bacterial concentrations from 10^2 to 10^8 CFU/ml.

Conclusions:

  • The developed all-fibre optical system provides a sensitive, accurate, and rapid method for bacterial enumeration in water.
  • Advantages include near real-time analysis, portability, and broad detection concentration range.
  • This technology offers a promising alternative to conventional, slower microbiological analysis techniques.