Three-dimensional biofilm structure quantification

被引:171
作者
Beyenal, H
Donovan, C
Lewandowski, Z
Harkin, G
机构
[1] Montana State Univ, Ctr Biofilm Engn, Bozeman, MT 59717 USA
[2] Montana State Univ, Dept Civil Engn, Bozeman, MT 59717 USA
[3] Montana State Univ, Dept Comp Sci, Bozeman, MT 59717 USA
关键词
biofilm; structure; 3-dimension; quantification; modeling; image; ISA3D;
D O I
10.1016/j.mimet.2004.08.003
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Quantitative parameters describing biofilm physical structure have been extracted from three-dimensional confocal laser scanning microscopy images and used to compare biofilm structures, monitor biofilm development, and quantify environmental factors affecting biofilm structure. Researchers have previously used biovolume, volume to surface ratio, roughness coefficient, and mean and maximum thicknesses to compare biofilm structures. The selection of these parameters is dependent on the availability of software to perform calculations. We believe it is necessary to develop more comprehensive parameters to describe heterogeneous biofilm morphology in three dimensions. This research presents parameters describing three-dimensional biofilm heterogeneity, size, and morphology of biomass calculated from confocal laser scanning microscopy images. This study extends previous work which extracted quantitative parameters regarding morphological features from two-dimensional biofilm images to three-dimensional biofilm images. We describe two types of parameters: (1) textural parameters showing microscale heterogeneity of biofilms and (2) volumetric parameters describing size and morphology of biomass. The three-dimensional features presented are average (ADD) and maximum diffusion distances (MDD), fractal dimension, average run lengths (in X, Y and Z directions), aspect ratio, textural entropy energy and homogeneity. We discuss the meaning of each parameter and present the calculations in detail. The developed algorithms, including automatic thresholding, are implemented in software as MATLAB programs which will be available at www.erc.montana.edu site prior to publication of the paper. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:395 / 413
页数:19
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