Comparison of Algorithms for Monitoring the Behavior of Microorganisms based on Remote Laser Speckle Method
Proceedings of SPIE. Vol.13196: Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX
2024
Ilya Balmages,
Aigars Reinis,
Svjatoslavs Kistkins,
Dmitrijs Bļizņuks,
Alexey Lihachev,
Ilze Lihacova
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.
Atslēgas vārdi
image processing; laser speckle imaging; microorganism activity estimation; remote sensing of microbial behavior; sensitive sub-pixel correlation method; signal processing
DOI
10.1117/12.3032500
Hipersaite
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13196/1319611/Comparison-of-algorithms-for-monitoring-the-behavior-of-microorganisms-based/10.1117/12.3032500.short
Balmages, I., Reinis, A., Kistkins, S., Bļizņuks, D., Lihachev, A., Lihacova, I. Comparison of Algorithms for Monitoring the Behavior of Microorganisms based on Remote Laser Speckle Method. No: Proceedings of SPIE. Vol.13196: Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX, Lielbritānija, Edinburgh, 16.-18. septembris, 2024. Bellingham: SPIE, 2024, Article number 1319611. ISBN 978-151068100-2. ISSN 0277-786X. e-ISSN 1996-756X. Pieejams: doi:10.1117/12.3032500
Publikācijas valoda
English (en)