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Image Analysis in Microbiology: A Review 被引量:1
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作者 Evgeny Puchkov 《Journal of Computer and Communications》 2016年第15期8-32,共26页
This review is focused on using computer image analysis as a means of objective and quantitative characterizing optical images of the macroscopic (e.g. microbial colonies) and the microscopic (e.g. single cell) object... This review is focused on using computer image analysis as a means of objective and quantitative characterizing optical images of the macroscopic (e.g. microbial colonies) and the microscopic (e.g. single cell) objects in the microbiological research. This is the way of making many visual inspection assays more objective and less time and labor consuming. Also, it can provide new visually inaccessible information on relation between some optical parameters and various biological features of the microbial cul-tures. Of special interest is application of image analysis in fluorescence microscopy as it opens new ways of using fluorescence based methodology for single microbial cell studies. Examples of using image analysis in the studies of both the macroscopic and the microscopic microbiological objects obtained by various imaging techniques are presented and discussed. 展开更多
关键词 Computer Image Analysis Microorganisms VIABILITY Yeast Bacteria Fungi Colony Counter microbial identification Multispectral Imaging Hyperspectral Imaging Diffraction Pattern Imaging Scatter Pattern Imaging Multifractal Analysis Support Vector Machines Principal Component Analysis Linear Discriminant Analysi IMAGEJ Matlab Fluorescence Microscopy Microfluorimetry Green Fluorescent Protein (GFP)
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