Algorithm for Recognition of Optical Spectra in an Environment Containing Interferants

Abstract

An algorithm for quickly determining the presence of bacteria based on their intrinsic fluorescence signals has been developed. Applications of this algorithm are discussed. The constant threat of bacterial infection affects today's society, since these infections cause sickness and often death. These threats include bio-terrorism/bio-warfare, outbreaks of new and re-emerging diseases, and food and water contamination. Current technologies detect microbes, but are limited in their ability to do so. Most require an outgrowth step, requiring the proper media and time (usually at least one day). In addition, these require sample contact. To overcome these limitations, a prototype instrument has been developed that detects bacteria based on their intrinsic fluorescence properties.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA409891

Entities

People

  • B. Wade
  • C. Estes
  • C. Lloyd
  • L. Powers

Organizations

  • Utah State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Bacteria
  • Bacterial Infections
  • Detection
  • Environment
  • Fluorescence
  • Fluorophores
  • Fuzzy Logic
  • Logic
  • Magnetic Resonance
  • Neural Networks
  • Nuclear Magnetic Resonance
  • Probability
  • Rayleigh Scattering
  • Recognition
  • Scattering
  • Spores

Readers

  • Computer Vision.
  • Microbial Pathology
  • Trauma Surgery or Emergency Medicine.