Abstract
The authors present the results of automated analysis of gram positive and gram negative cocci and bacilli (Staphylococcus aureus, Neisseria spp., Corynebacterium spp., Escherichia coli) for a database that facilitates detection of changes in normal microflora and diagnosis of disbiotic conditions of various human biotopes. Following the standard sample preparations and Gram staining, microbial smears were investigated using an automated and computerized analyzer developed by the Mintz Radio Engineering Institute in Moscow. Morphological and tinctorial analysis established significant differences in cell area, perimeter and limit. Significant differences in tinctorial properties of microbial cells make possible image research using the RGB and HSV color spaces. Automated analysis enables identification of microbial cells simultaneously by digital images of morphological and color/brightness parameters. The proposed techniques can be helpful in constructing an electronic microflora atlas of various human biotopes.
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