Determination of operating parameters of fungal growth signals analyzed by laser speckle contrast imaging

  • Ilya Balmages
  • , Aigars Reinis
  • , Svjatoslavs Kistkins
  • , Janis Liepins
  • , Maksym Pogorielov
  • , Viktoriia Korniienko
  • , Kateryna Diedkova
  • , Dmitrijs Bliznuks
  • , Alexey Lihachev
  • , Ilze Lihacova

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

3 Scopus citations

Abstract

Our previous studies have shown that laser speckle imaging with sensitive subpixel correlation analysis is able to detect bacterial growth activity and the pattern of colony growth. In the current study, we demonstrate the potential of this method to analyze fungal growth. We compare the characteristics of the signals obtained from bacteria and fungi. The obtained results will help to improve the parameters of the speckle image acquisition system and the signal processing algorithms useful for microorganism (both eukaryotic and prokaryotic) growth analyses and speeding up and facilitating microbiological diagnostics.

Original languageEnglish
Title of host publicationBiomedical Spectroscopy, Microscopy, and Imaging III
EditorsJurgen Popp, Csilla Gergely
PublisherSPIE
ISBN (Electronic)9781510673281
DOIs
StatePublished - 1 Jan 2024
Externally publishedYes
EventBiomedical Spectroscopy, Microscopy, and Imaging III 2024 - Strasbourg, France
Duration: 8 Apr 202412 Apr 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13006
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceBiomedical Spectroscopy, Microscopy, and Imaging III 2024
Country/TerritoryFrance
CityStrasbourg
Period8/04/2412/04/24

Keywords

  • fungi activity estimation
  • image processing
  • laser speckle imaging
  • sensitive sub-pixel correlation method

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'Determination of operating parameters of fungal growth signals analyzed by laser speckle contrast imaging'. Together they form a unique fingerprint.

Cite this