Comparison of algorithms for monitoring the behavior of microorganisms based on remote laser speckle method

Ilya Balmages; Aigars Reinis; Svjatoslavs Kistkins; Dmitrijs Bliznuks; Alexey Lihachev; Ilze Lihacova

doi:10.1117/12.3032500

Comparison of algorithms for monitoring the behavior of microorganisms based on remote laser speckle method

Ilya Balmages, Aigars Reinis, Svjatoslavs Kistkins, Dmitrijs Bliznuks, Alexey Lihachev, Ilze Lihacova

Department of Biology and Microbiology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Laser speckle imaging techniques have become widespread in many areas where non-invasive remote measurements are needed. For example, medical and microbiological fields. This technique is applicable for monitoring the behavioral activity of microorganisms. In the current study, using experiments with fungi and bacteria, we compare signal and image processing algorithms for analyzing microorganism's activity by laser speckle imaging techniques and demonstrate the advantages of the proposed method - sensitive sub-pixel correlation algorithm. The obtained results could allow to propose a technology for faster detection of bacterial and fungal growth in the culture medium. They could also be used to speed up the determination of antibacterial and antifungal susceptibility results.

Original language	English
Title of host publication	Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX
Editors	Lorenzo Bruzzone, Francesca Bovolo
Publisher	SPIE
ISBN (Electronic)	9781510681002
DOIs	https://doi.org/10.1117/12.3032500
Publication status	Published - 2024
Event	Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX 2024 - Edinburgh, United Kingdom Duration: 16 Sept 2024 → 18 Sept 2024 Conference number: 30 https://journals.scholarsportal.info/pdf/0277786x/v13196inone/1319601_fmv1.xml_en

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	13196
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX 2024
Country/Territory	United Kingdom
City	Edinburgh
Period	16/09/24 → 18/09/24
Internet address	https://journals.scholarsportal.info/pdf/0277786x/v13196inone/1319601_fmv1.xml_en

Keywords*

image processing
laser speckle imaging
microorganism activity estimation
remote sensing of microbial behavior
sensitive sub-pixel correlation method
signal processing

Field of Science*

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

Publication Type*

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

Access to Document

10.1117/12.3032500

Cite this

Balmages, I., Reinis, A., Kistkins, S., Bliznuks, D., Lihachev, A., & Lihacova, I. (2024). Comparison of algorithms for monitoring the behavior of microorganisms based on remote laser speckle method. In L. Bruzzone, & F. Bovolo (Eds.), Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX Article 1319611 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 13196). SPIE. https://doi.org/10.1117/12.3032500

Balmages, Ilya ; Reinis, Aigars ; Kistkins, Svjatoslavs et al. / Comparison of algorithms for monitoring the behavior of microorganisms based on remote laser speckle method. Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX. editor / Lorenzo Bruzzone ; Francesca Bovolo. SPIE, 2024. (Proceedings of SPIE - The International Society for Optical Engineering).

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title = "Comparison of algorithms for monitoring the behavior of microorganisms based on remote laser speckle method",

abstract = "Laser speckle imaging techniques have become widespread in many areas where non-invasive remote measurements are needed. For example, medical and microbiological fields. This technique is applicable for monitoring the behavioral activity of microorganisms. In the current study, using experiments with fungi and bacteria, we compare signal and image processing algorithms for analyzing microorganism's activity by laser speckle imaging techniques and demonstrate the advantages of the proposed method - sensitive sub-pixel correlation algorithm. The obtained results could allow to propose a technology for faster detection of bacterial and fungal growth in the culture medium. They could also be used to speed up the determination of antibacterial and antifungal susceptibility results.",

keywords = "image processing, laser speckle imaging, microorganism activity estimation, remote sensing of microbial behavior, sensitive sub-pixel correlation method, signal processing",

author = "Ilya Balmages and Aigars Reinis and Svjatoslavs Kistkins and Dmitrijs Bliznuks and Alexey Lihachev and Ilze Lihacova",

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year = "2024",

doi = "10.1117/12.3032500",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Lorenzo Bruzzone and Francesca Bovolo",

booktitle = "Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX",

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Balmages, I, Reinis, A, Kistkins, S, Bliznuks, D, Lihachev, A & Lihacova, I 2024, Comparison of algorithms for monitoring the behavior of microorganisms based on remote laser speckle method. in L Bruzzone & F Bovolo (eds), Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX., 1319611, Proceedings of SPIE - The International Society for Optical Engineering, vol. 13196, SPIE, Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX 2024, Edinburgh, United Kingdom, 16/09/24. https://doi.org/10.1117/12.3032500

Comparison of algorithms for monitoring the behavior of microorganisms based on remote laser speckle method. / Balmages, Ilya; Reinis, Aigars; Kistkins, Svjatoslavs et al.
Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX. ed. / Lorenzo Bruzzone; Francesca Bovolo. SPIE, 2024. 1319611 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 13196).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Comparison of algorithms for monitoring the behavior of microorganisms based on remote laser speckle method

AU - Balmages, Ilya

AU - Reinis, Aigars

AU - Kistkins, Svjatoslavs

AU - Bliznuks, Dmitrijs

AU - Lihachev, Alexey

AU - Lihacova, Ilze

N1 - Conference code: 30

PY - 2024

Y1 - 2024

N2 - Laser speckle imaging techniques have become widespread in many areas where non-invasive remote measurements are needed. For example, medical and microbiological fields. This technique is applicable for monitoring the behavioral activity of microorganisms. In the current study, using experiments with fungi and bacteria, we compare signal and image processing algorithms for analyzing microorganism's activity by laser speckle imaging techniques and demonstrate the advantages of the proposed method - sensitive sub-pixel correlation algorithm. The obtained results could allow to propose a technology for faster detection of bacterial and fungal growth in the culture medium. They could also be used to speed up the determination of antibacterial and antifungal susceptibility results.

AB - Laser speckle imaging techniques have become widespread in many areas where non-invasive remote measurements are needed. For example, medical and microbiological fields. This technique is applicable for monitoring the behavioral activity of microorganisms. In the current study, using experiments with fungi and bacteria, we compare signal and image processing algorithms for analyzing microorganism's activity by laser speckle imaging techniques and demonstrate the advantages of the proposed method - sensitive sub-pixel correlation algorithm. The obtained results could allow to propose a technology for faster detection of bacterial and fungal growth in the culture medium. They could also be used to speed up the determination of antibacterial and antifungal susceptibility results.

KW - image processing

KW - laser speckle imaging

KW - microorganism activity estimation

KW - remote sensing of microbial behavior

KW - sensitive sub-pixel correlation method

KW - signal processing

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U2 - 10.1117/12.3032500

DO - 10.1117/12.3032500

M3 - Conference contribution

AN - SCOPUS:85212429516

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX

A2 - Bruzzone, Lorenzo

A2 - Bovolo, Francesca

PB - SPIE

T2 - Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX 2024

Y2 - 16 September 2024 through 18 September 2024

ER -

Balmages I, Reinis A, Kistkins S, Bliznuks D, Lihachev A, Lihacova I. Comparison of algorithms for monitoring the behavior of microorganisms based on remote laser speckle method. In Bruzzone L, Bovolo F, editors, Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX. SPIE. 2024. 1319611. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.3032500

Comparison of algorithms for monitoring the behavior of microorganisms based on remote laser speckle method

Abstract

Publication series

Conference

Keywords*

Field of Science*

Publication Type*

Access to Document

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