@inproceedings{46b4fc0985eb49e996028ef1cb851162,
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",
note = "Publisher Copyright: {\textcopyright} 2024 SPIE.; Artificial Intelligence and Image and Signal Processing for Remote Sensing XXX 2024 ; Conference date: 16-09-2024 Through 18-09-2024",
year = "2024",
month = jan,
day = "1",
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",
address = "United States",
}