Literature DB >> 19132742

Biofilm monitoring on rotating discs by image analysis.

Marie-Noëlle Pons1, Kim Milferstedt, Eberhard Morgenroth.   

Abstract

The macrostructure development of biofilms grown in a lab-scale rotating biological contactor was monitored by analyzing the average opacity and the texture of gray-level images of the discs. The reactor was fed with municipal or synthetic wastewater. Experiments lasted on average 4-14 weeks. The images were obtained with a flat-bed scanner. The opacity and its standard deviation are directly extracted from the annular zone where the biofilm develops. This zone is defined by the outer edge of the disc and the waterline. The spatial gray-level dependence matrix (SGLDM) approach was used for the texture assessment. As this method requires rectangular images, a geometrical transformation had to be developed to transform the ring into a workable area. This transformation now allows quantitative image analysis on circular biofilms. As a last step, Principal Components Analysis was applied to the set of textural descriptors to reduce the number of textural parameters. Opacity and textural information allowed the non-intrusive monitoring of the growth/regrowth of the biofilms as well as biofilm loss, due to detachment, auto-digestion, or protozoan grazing. Textural description was very valuable by helping to discriminate biofilms of similar opacity characteristics but presenting different macrostructures. Copyright 2008 Wiley Periodicals, Inc.

Mesh:

Year:  2009        PMID: 19132742     DOI: 10.1002/bit.22222

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  2 in total

1.  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

2.  Microbial-based evaluation of foaming events in full-scale wastewater treatment plants by microscopy survey and quantitative image analysis.

Authors:  Cristiano Leal; António Luís Amaral; Maria de Lourdes Costa
Journal:  Environ Sci Pollut Res Int       Date:  2016-04-30       Impact factor: 4.223

  2 in total

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