ArticleLasers in medical science2017
Digital imaging information technology for biospeckle activity assessment relative to bacteria and parasites.
Article in Lasers in medical science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- New Methodologies as Opportunities in the Study of Bacterial Biofilms, Including Food-Related Applications.Microorganisms · 2025Review
- Non-invasiveBiomedical optics express · 2020Article
- Real-time monitoring of bacterial growth kinetics in suspensions using laser speckle imaging.Scientific reports · 2020Article
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Authors and funding
7 authors.
Funding
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Abstract
This paper reports on the biospeckle processing of biological activity using a visualization scheme based upon the digital imaging information technology. Activity relative to bacterial growth in agar plates and to parasites affected by a drug is monitored via the speckle patterns generated by a coherent source incident on the microorganisms. We present experimental results to demonstrate the potential application of this methodology for following the activity in time. The digital imaging information technology is an alternative visualization enabling the study of speckle dynamics, which is correlated to the activity of bacteria and parasites. In this method, the changes in Red-Green-Blue (RGB) color component density are considered as markers of the growth of bacteria and parasites motility in presence of a drug. The RGB data was used to generate a two-dimensional surface plot allowing an analysis of color distribution on the speckle images. The proposed visualization is compared to the outcomes of the generalized differences and the temporal difference. A quantification of the activity is performed using a parameterization of the temporal difference method. The adopted digital image processing technique has been found suitable to monitor motility and morphological changes in the bacterial population over time and to detect and distinguish a short term drug action on parasites.
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