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

19 November 2024 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

Author Affiliations +

Proceedings Volume 13196, Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX; 1319611 (2024) https://doi.org/10.1117/12.3032500
Event: Remote Sensing, 2024, Edinburgh, United Kingdom

Conference Poster

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Ilya Balmages, Aigars Reinis, Svjatoslavs Kistkins, Dmitrijs Bliznuks, Alexey Lihachev, and Ilze Lihacova "Comparison of algorithms for monitoring the behavior of microorganisms based on remote laser speckle method", Proc. SPIE 13196, Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX, 1319611 (19 November 2024); https://doi.org/10.1117/12.3032500

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