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

1 Citation (Scopus)

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
Publication statusPublished - Jun 2024
EventBiomedical Spectroscopy, Microscopy, and Imaging III 2024 - Palais de la Musique et des Congrès, Strasbourg, France
Duration: 8 Apr 202412 Apr 2024
https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://spie.org/Publications/Proceedings/Volume/13006&ved=2ahUKEwi_-p7Kt-mLAxXEGBAIHZXpCJcQFnoECBcQAQ&usg=AOvVaw1MLjBC37jXoOfN1AAW14mp

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
Internet address

Keywords*

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

Field of Science*

  • 2.2 Electrical engineering, Electronic engineering, Information engineering
  • 1.3 Physical sciences
  • 1.6 Biological sciences

Publication Type*

  • 3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database

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