Laser Speckle Time-Series Correlation Analysis for Bacteria Activity Detection

Proceedings of SPIE. Vol.11359: Biomedical Spectroscopy, Microscopy, and Imaging 2020
Ilya Balmages, Dmitrijs Bļizņuks, Jānis Liepiņš, Stivens Zoļins, Alexey Lihachev

Downloading of the abstract is permitted for personal use only. The study aims at development and laboratory approbation of non-contact optical technique for early evaluation of microbial activity. Microorganisms' activity is estimated by laser speckle contrast imaging technique in combination with image processing of obtained time varying speckle patterns. Laser speckle patterns were captured by CMOS sensor during illumination of growing bacteria colonies by low power (<30 mW, 635 nm) stabilized coherent light source. To validate proposed technique and image processing algorithm the vibrio natriegens bacteria are used. After analysis of several different experiments the following results were obtained: In the central part of the colony activity can be seen in 2.5-3 hours. Thus, earlier detection of bacterial activity is expected, i.e., earlier than 2-3 hours, which is much earlier than the standard counting methods used to count colony forming units (CFU).

Atslēgas vārdi
Image processing, Laser speckle imaging, Microorganism activity estimation
DOI
10.1117/12.2541663
Hipersaite
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11359/2541663/Laser-speckle-time-series-correlation-analysis-for-bacteria-activity-detection/10.1117/12.2541663.short

Balmages, I., Bļizņuks, D., Liepiņš, J., Zoļins, S., Lihachev, A. Laser Speckle Time-Series Correlation Analysis for Bacteria Activity Detection. No: Proceedings of SPIE. Vol.11359: Biomedical Spectroscopy, Microscopy, and Imaging, Francija, online only, 6.-10. aprīlis, 2020. Bellingham, Washington: SPIE, 2020, Article number 113591D. ISBN 9781510634909. ISSN 0277-786X. Pieejams: doi:10.1117/12.2541663

Publikācijas valoda
English (en)