Three-dimensional biofilm structure quantification
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 pre...
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Veröffentlicht in: | Journal of microbiological methods 2004-12, Vol.59 (3), p.395-413 |
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creator | Beyenal, Haluk Donovan, Conrad Lewandowski, Zbigniew Harkin, Gary |
description | 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. |
doi_str_mv | 10.1016/j.mimet.2004.08.003 |
format | Article |
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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
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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
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Psychology</subject><subject>Image Processing, Computer-Assisted</subject><subject>ISA3D</subject><subject>Microbiology</subject><subject>Microscopy, Confocal</subject><subject>Modeling</subject><subject>Morphology, structure, chemical composition</subject><subject>Morphology, structure, chemical composition, physicochemical properties</subject><subject>Mycology</subject><subject>Quantification</subject><subject>Software</subject><subject>Structure</subject><subject>Surface Properties</subject><subject>Virology</subject><issn>0167-7012</issn><issn>1872-8359</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0EtLAzEQB_Agiq3VTyBIL3rbNY99ZA8epPiCgpd6DrPJBFP20Sa7gt_e1BZ609NcfvNn5k_INaMpo6y4X6eta3FIOaVZSmVKqTghUyZLnkiRV6dkGlWZlJTxCbkIYU0py0Umz8mE5ZmUXPIp4atPj5iYmNQF13fQzGvXW9e08zD4UQ-jx_l2hG5w1mkYIrkkZxaagFeHOSMfz0-rxWuyfH95WzwuE50VbEhya3QGRlacWqtFaRgaKQzPmbG1xswgFHnFoSo5ctA5l8ICSMh0jZADiBm52-dufL8dMQyqdUFj00CH_RhUUVSSx-f_hayUVBQsi1DsofZ9CB6t2njXgv9WjKpdp2qtfjtVu04VlSqmx62bQ_xYt2iOO4cSI7g9AAgaGuuh0y4cXcGZKKiM7mHvMLb25dCroB12Go3zqAdlevfnIT-VtJco</recordid><startdate>20041201</startdate><enddate>20041201</enddate><creator>Beyenal, Haluk</creator><creator>Donovan, Conrad</creator><creator>Lewandowski, Zbigniew</creator><creator>Harkin, Gary</creator><general>Elsevier B.V</general><general>Elsevier Science</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>C1K</scope><scope>7X8</scope></search><sort><creationdate>20041201</creationdate><title>Three-dimensional biofilm structure quantification</title><author>Beyenal, Haluk ; Donovan, Conrad ; Lewandowski, Zbigniew ; Harkin, Gary</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c461t-5fdc4ad8920ffc37d1ed83d251dfbce4dea6592a972e2ac5283faa8a4cbea5aa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>3-Dimension</topic><topic>Algorithms</topic><topic>Biofilm</topic><topic>Biofilms</topic><topic>Biological and medical sciences</topic><topic>Biomass</topic><topic>Fractals</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Image Processing, Computer-Assisted</topic><topic>ISA3D</topic><topic>Microbiology</topic><topic>Microscopy, Confocal</topic><topic>Modeling</topic><topic>Morphology, structure, chemical composition</topic><topic>Morphology, structure, chemical composition, physicochemical properties</topic><topic>Mycology</topic><topic>Quantification</topic><topic>Software</topic><topic>Structure</topic><topic>Surface Properties</topic><topic>Virology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Beyenal, Haluk</creatorcontrib><creatorcontrib>Donovan, Conrad</creatorcontrib><creatorcontrib>Lewandowski, Zbigniew</creatorcontrib><creatorcontrib>Harkin, Gary</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of microbiological methods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Beyenal, Haluk</au><au>Donovan, Conrad</au><au>Lewandowski, Zbigniew</au><au>Harkin, Gary</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Three-dimensional biofilm structure quantification</atitle><jtitle>Journal of microbiological methods</jtitle><addtitle>J Microbiol Methods</addtitle><date>2004-12-01</date><risdate>2004</risdate><volume>59</volume><issue>3</issue><spage>395</spage><epage>413</epage><pages>395-413</pages><issn>0167-7012</issn><eissn>1872-8359</eissn><coden>JMIMDQ</coden><abstract>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
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subjects | 3-Dimension Algorithms Biofilm Biofilms Biological and medical sciences Biomass Fractals Fundamental and applied biological sciences. Psychology Image Processing, Computer-Assisted ISA3D Microbiology Microscopy, Confocal Modeling Morphology, structure, chemical composition Morphology, structure, chemical composition, physicochemical properties Mycology Quantification Software Structure Surface Properties Virology |
title | Three-dimensional biofilm structure quantification |
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