Biofilm monitoring on rotating discs by image analysis.
Identifieur interne : 000149 ( Ncbi/Curation ); précédent : 000148; suivant : 000150Biofilm monitoring on rotating discs by image analysis.
Auteurs : Marie-Noëlle Pons [France] ; Kim Milferstedt ; Eberhard MorgenrothSource :
- Biotechnology and bioengineering [ 1097-0290 ] ; 2009.
Descripteurs français
- KwdFr :
- MESH :
- croissance et développement : Biofilms.
- Microbiologie de l'eau, Traitement d'image par ordinateur.
English descriptors
- KwdEn :
- MESH :
- growth & development : Biofilms.
- methods : Image Processing, Computer-Assisted.
- Water Microbiology.
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.
DOI: 10.1002/bit.22222
PubMed: 19132742
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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.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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