1. Digital imaging information technology for biospeckle activity assessment relative to bacteria and parasites
- Author
-
Hilda C. Grassi, Dania Rodríguez, Evelio E. Ramírez-Miquet, J. G. Darias, Efrén D. J. Andrades, Humberto Cabrera, and Isabel Otero
- Subjects
Staphylococcus aureus ,Time Factors ,Trypanosoma cruzi ,Activity assessment ,Analytical chemistry ,02 engineering and technology ,Dermatology ,01 natural sciences ,010309 optics ,Speckle pattern ,0103 physical sciences ,Digital image processing ,Escherichia coli ,Image Processing, Computer-Assisted ,Animals ,Parasites ,biology ,Digital imaging ,021001 nanoscience & nanotechnology ,biology.organism_classification ,Visualization ,RGB color model ,Surgery ,0210 nano-technology ,Temporal difference learning ,Biological system ,Information Technology ,Bacteria ,Algorithms - 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.
- Published
- 2016