ArticleFrontiers in microbiology2023
Tools for classification of growing/non-growing bacterial colonies using laser speckle imaging.
Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Equations describing semi-confluent cell growth (II) colony formation on a flat surface.European biophysics journal : EBJ · 2025Article
- Light scattering-based screening method for rapid evaluating antibiotic effects on bacteria using laser speckle imaging.Journal of biological engineering · 2025Article
- Colony Binary Classification Based on Persistent Homology Feature Extraction and Improved EfficientNet.Bioengineering (Basel, Switzerland) · 2025Article
- Classification of Microbial Activity and Inhibition Zones Using Neural Network Analysis of Laser Speckle Images.Sensors (Basel, Switzerland) · 2025Article
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Authors and funding
7 authors.
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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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