Literature DB >> 15079889

Quantifying biofilm structure: facts and fiction.

Haluk Beyenal1, Zbigniew Lewandowski, Gary Harkin.   

Abstract

There is no doubt among biofilm researchers that biofilm structure is important to many biofilm processes, such as the transport of nutrients to deeper layers of the biofilm. However, biofilm structure is an elusive term understood only qualitatively, and as such it cannot be directly correlated with any measurable parameters characterizing biofilm performance. To correlate biofilm structure with the parameters characterizing biofilm performance, such as the rate of nutrient transport within the space occupied by the biofilms, biofilm structure must first be quantified and expressed numerically on an appropriate scale. The task of extracting numerical parameters quantifying biofilm structure relies on using biofilm imaging and image analysis. Although defining parameters characterizing biofilm structure is relatively straightforward, and multiple parameters have been described in the computer science literature, interpreting the results of such analyses is not trivial. Existing computer software developed by several research groups, including ours, for the sole purpose of analyzing biofilm images helps quantify parameters from biofilm images but does nothing to help interpret the results of such analyses. Although computing structural parameters from biofilm images permits correlating biofilm structure with other biofilm processes, the meaning of the results is not obvious. The first step to understanding the quantification of biofilm structure, developing image analysis, methods to quantify information from biofilm images, has been made by several research groups. The next step is to explain the meaning of these analyses. This presentation explains the meaning of several parameters commonly used to characterize biofilm structure. It also reviews the authors' research and experience in quantifying biofilm structure and their attempts to quantitatively relate biofilm structure to fundamental biofilm processes.

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Year:  2004        PMID: 15079889     DOI: 10.1080/0892701042000191628

Source DB:  PubMed          Journal:  Biofouling        ISSN: 0892-7014            Impact factor:   3.209


  30 in total

1.  Quantifying element incorporation in multispecies biofilms using nanoscale secondary ion mass spectrometry image analysis.

Authors:  Ryan S Renslow; Stephen R Lindemann; Jessica K Cole; Zihua Zhu; Christopher R Anderton
Journal:  Biointerphases       Date:  2016-06-12       Impact factor: 2.456

2.  Biofilm image reconstruction for assessing structural parameters.

Authors:  Ryan Renslow; Zbigniew Lewandowski; Haluk Beyenal
Journal:  Biotechnol Bioeng       Date:  2011-01-28       Impact factor: 4.530

3.  Structure and composition of aggregates in two large European rivers, based on confocal laser scanning microscopy and image and statistical analyses.

Authors:  Birgit Luef; Thomas R Neu; Irene Zweimüller; Peter Peduzzi
Journal:  Appl Environ Microbiol       Date:  2009-07-24       Impact factor: 4.792

4.  Glucan-binding proteins are essential for shaping Streptococcus mutans biofilm architecture.

Authors:  David J Lynch; Tracey L Fountain; Joseph E Mazurkiewicz; Jeffrey A Banas
Journal:  FEMS Microbiol Lett       Date:  2006-12-01       Impact factor: 2.742

5.  Relationship between surface chemistry, biofilm structure, and electron transfer in Shewanella anodes.

Authors:  Kateryna Artyushkova; Jose A Cornejo; Linnea K Ista; Sofia Babanova; Carlo Santoro; Plamen Atanassov; Andrew J Schuler
Journal:  Biointerphases       Date:  2015-03-05       Impact factor: 2.456

6.  Vancomycin and maltodextrin affect structure and activity of Staphylococcus aureus biofilms.

Authors:  Mia Mae Kiamco; Erhan Atci; Qaiser Farid Khan; Abdelrhman Mohamed; Ryan S Renslow; Nehal Abu-Lail; Boel A Fransson; Douglas R Call; Haluk Beyenal
Journal:  Biotechnol Bioeng       Date:  2015-09-02       Impact factor: 4.530

7.  Development of the Pseudomonas aeruginosa mushroom morphology and cavity formation by iron-starvation: a mathematical modeling study.

Authors:  James K Miller; Hope T Badawy; Curtis Clemons; K L Kreider; Pat Wilber; Amy Milsted; Gerald Young
Journal:  J Theor Biol       Date:  2012-06-04       Impact factor: 2.691

8.  In vitro and in vivo activity of EDTA and antibacterial agents against the biofilm of mucoid Pseudomonas aeruginosa.

Authors:  Zhenqiu Liu; Yaying Lin; Qi Lu; Fang Li; Jialin Yu; Zhengli Wang; Yu He; Chao Song
Journal:  Infection       Date:  2016-05-17       Impact factor: 3.553

9.  Imaging and quantifying virus fluorescence signals on aquatic aggregates: a new method and its implication for aquatic microbial ecology.

Authors:  Birgit Luef; Thomas R Neu; Peter Peduzzi
Journal:  FEMS Microbiol Ecol       Date:  2009-04-06       Impact factor: 4.194

10.  Altering the ratio of phenazines in Pseudomonas chlororaphis (aureofaciens) strain 30-84: effects on biofilm formation and pathogen inhibition.

Authors:  V S R K Maddula; E A Pierson; L S Pierson
Journal:  J Bacteriol       Date:  2008-02-08       Impact factor: 3.490

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