Biofilm structure differentiation based on multi-resolution analysis.
Quantitative parameters for describing the morphology of biofilms are crucial towards establishing the influence of growing conditions on biofilm structure. Parameters used in earlier studies generally fail to differentiate complex three-dimensional structures. This article presents a novel approach of defining a parameter vector based on the energy signature of multi-resolution analysis, which was applied to differentiating biofilm structures from confocal laser scanning microscopy (CLSM) biofilm images. The parameter vector distinguished differences in the spatial arrangements of synthetic images. For real CLSM images, this parameter vector detected subtle differences in biofilm structure for three sample cases: (1) two adjacent images of a CLSM stack; (2) two partial stacks from the same CLSM stack with equal numbers of images but spatially offset by one image; and (3) three complete CLSM stacks from different bacterial strains. It was also observed that filtering the noise in CLSM images enhanced the sensitivity of the differentiation using our parameter vector.
Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, Alberta, Canada.
Jerome
J
Yerly
Yaoping
Y
Hu
Robert J
RJ
Martinuzzi
D018441:Biofilms / Q000254:growth & development*; D007091:Image Processing, Computer-Assisted; D018613:Microscopy, Confocal; D008954:Models, Biological; D011513:Proteus mirabilis / Q000166:cytology* / Q000502:physiology; D013211:Staphylococcus aureus / Q000166:cytology* / Q000502:physiology