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Laser speckle time-series correlation analysis for bacteria activity detection

  • Ilya Balmages
  • , Dmitrijs Bliznuks
  • , Janis Liepins
  • , Stivens Zolins
  • , Alexey Lihachev

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

Abstract

The study aims at development and laboratory approbation of non-contact optical technique for early evaluation of microbial activity. Microorganisms' activity is estimated by laser speckle contrast imaging technique in combination with image processing of obtained time varying speckle patterns. Laser speckle patterns were captured by CMOS sensor during illumination of growing bacteria colonies by low power (<30 mW, 635 nm) stabilized coherent light source. To validate proposed technique and image processing algorithm the vibrio natriegens bacteria are used. After analysis of several different experiments the following results were obtained: In the central part of the colony activity can be seen in 2.5-3 hours. Thus, earlier detection of bacterial activity is expected, i.e., earlier than 2-3 hours, which is much earlier than the standard counting methods used to count colony forming units (CFU).

Original languageEnglish
Title of host publicationBiomedical Spectroscopy, Microscopy, and Imaging
EditorsJurgen Popp, Csilla Gergely
PublisherSPIE
ISBN (Electronic)9781510634909
DOIs
StatePublished - 1 Jan 2020
Externally publishedYes
EventBiomedical Spectroscopy, Microscopy, and Imaging 2020 - Virtual, Online, France
Duration: 6 Apr 202010 Apr 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11359
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceBiomedical Spectroscopy, Microscopy, and Imaging 2020
Country/TerritoryFrance
CityVirtual, Online
Period6/04/2010/04/20

Keywords

  • Image processing
  • Laser speckle imaging
  • Microorganism activity estimation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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