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Tools for classification of growing/non-growing bacterial colonies using laser speckle imaging.
Balmages, Ilya; Liepins, Janis; Zolins, Stivens; Bliznuks, Dmitrijs; Broks, Renars; Lihacova, Ilze; Lihachev, Alexey.
Affiliation
  • Balmages I; Faculty of Computer Science and Information Technology, Riga Technical University, Riga, Latvia.
  • Liepins J; Institute of Atomic Physics and Spectroscopy, University of Latvia, Riga, Latvia.
  • Zolins S; Institute of Microbiology and Biotechnology, University of Latvia, Riga, Latvia.
  • Bliznuks D; Laboratorija Auctoritas Ltd., Riga, Latvia.
  • Broks R; Faculty of Computer Science and Information Technology, Riga Technical University, Riga, Latvia.
  • Lihacova I; Faculty of Computer Science and Information Technology, Riga Technical University, Riga, Latvia.
  • Lihachev A; Department of Biology and Microbiology, Riga Stradins University, Riga, Latvia.
Front Microbiol ; 14: 1279667, 2023.
Article in En | MEDLINE | ID: mdl-37928664
ABSTRACT
Prior research has indicated the feasibility of assessing growth-associated activity in bacterial colonies through the application of laser speckle imaging techniques. A subpixel correlation method was employed to identify variations in sequential laser speckle images, thereby facilitating the visualization of specific zones indicative of microbial growth within the colony. Such differentiation between active (growing) and inactive (non-growing) bacterial colonies holds considerable implications for medical applications, like bacterial response to certain drugs or antibiotics. The present study substantiates the capability of laser speckle imaging to categorize bacterial colonies as growing or non-growing, a parameter which nonvisible in colonies when observed under white light illumination.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Microbiol Year: 2023 Document type: Article Affiliation country: Latvia

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Microbiol Year: 2023 Document type: Article Affiliation country: Latvia