Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Use of DAIME for characterisation of activated sludge flocs

Use of DAIME for characterisation of activated sludge flocs ReferencesDaims, H., Lucker, S. & Wagner, M. (2006). Daime, a novel image analysis program for microbial ecology and biofi lm research, Environmental Microbiology, 8, 2, pp. 200-213.Daims, H. et al. (2011). DAIME - user manual, DOME, Vienna, Austria Eikelboom, D. (2000). Process control of activated sludge plants by microscopic investigation, IWA Publishing, UK 2000.Grijspeerdt, K. & Verstraete, W. (1997). Image analysis to estimate the settleability and concentration of activated sludge, Water Research, 31, 5, pp. 1126-1134.Liwarska-Bizukojć, E. (2005). Application of image analysis techniques in activated sludge wastewater treatment processes, Biotechnology Letters, 27, 19, pp. 1427-1433.Liwarska-Bizukojć, E. & Bizukojć, M. (2013). New automated procedure to determine the contribution of fi lamentous bacteria in activated sludge fl ocs, Journal of Civil Engineering, Environment and Architecture, 60, 3, pp. 59-68. (in Polish)Liwarska-Bizukojć, E. (2012). Role of digital image analysis in activated sludge monitoring in wastewater treatment plants, Inżynieria i Aparatura Chemiczna, 51, 4, pp. 151-153. (in Polish)Khan, M.B., Nisar, H., Ng, C.A. & Lo, P.K. (2015). Illumination compensated segmentation of microscopic images of activated sludge fl ocs, International Conference on Digital Image Computing: Techniques and Applications (DICTA), Adelaide, SA, pp. 1-5.Mesquita, D.P., Dias, O., Elias, R.A.V., Amaral, A.L. & Ferreira, E.C. (2010). Dilution and magnification effects on image analysis applications in activated sludge characterization, Microscopy and Microanalysis, 16, 5, pp. 561-568.Motta, M., Pons, M., Roche, N. & Vivier, H. (2001). Characterisation of activated sludge by automated image analysis, Biochemical Engineering Journal,9, 3, pp. 165-173.Pandolfi , D., Pons, M.N. & da Motta, M. (2007). Characterization of PHB storage in activated sludge extended fi lamentous bacteria by automated colour image analysis, Biotechnology Letters, 29, 8, pp. 1263-1269. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Archives of Environmental Protection de Gruyter

Use of DAIME for characterisation of activated sludge flocs

Gnida, Anna
Archives of Environmental Protection , Volume 43 (4): 6 – Dec 1, 2017
Download PDF
6 pages

Loading next page...
 
/lp/de-gruyter/use-of-daime-for-characterisation-of-activated-sludge-flocs-p08iMaWIle
Publisher
de Gruyter
Copyright
© Archives of Environmental Protection
ISSN
2083-4810
eISSN
2083-4810
DOI
10.1515/aep-2017-0042
Publisher site
See Article on Publisher Site

Abstract

ReferencesDaims, H., Lucker, S. & Wagner, M. (2006). Daime, a novel image analysis program for microbial ecology and biofi lm research, Environmental Microbiology, 8, 2, pp. 200-213.Daims, H. et al. (2011). DAIME - user manual, DOME, Vienna, Austria Eikelboom, D. (2000). Process control of activated sludge plants by microscopic investigation, IWA Publishing, UK 2000.Grijspeerdt, K. & Verstraete, W. (1997). Image analysis to estimate the settleability and concentration of activated sludge, Water Research, 31, 5, pp. 1126-1134.Liwarska-Bizukojć, E. (2005). Application of image analysis techniques in activated sludge wastewater treatment processes, Biotechnology Letters, 27, 19, pp. 1427-1433.Liwarska-Bizukojć, E. & Bizukojć, M. (2013). New automated procedure to determine the contribution of fi lamentous bacteria in activated sludge fl ocs, Journal of Civil Engineering, Environment and Architecture, 60, 3, pp. 59-68. (in Polish)Liwarska-Bizukojć, E. (2012). Role of digital image analysis in activated sludge monitoring in wastewater treatment plants, Inżynieria i Aparatura Chemiczna, 51, 4, pp. 151-153. (in Polish)Khan, M.B., Nisar, H., Ng, C.A. & Lo, P.K. (2015). Illumination compensated segmentation of microscopic images of activated sludge fl ocs, International Conference on Digital Image Computing: Techniques and Applications (DICTA), Adelaide, SA, pp. 1-5.Mesquita, D.P., Dias, O., Elias, R.A.V., Amaral, A.L. & Ferreira, E.C. (2010). Dilution and magnification effects on image analysis applications in activated sludge characterization, Microscopy and Microanalysis, 16, 5, pp. 561-568.Motta, M., Pons, M., Roche, N. & Vivier, H. (2001). Characterisation of activated sludge by automated image analysis, Biochemical Engineering Journal,9, 3, pp. 165-173.Pandolfi , D., Pons, M.N. & da Motta, M. (2007). Characterization of PHB storage in activated sludge extended fi lamentous bacteria by automated colour image analysis, Biotechnology Letters, 29, 8, pp. 1263-1269.

Journal

Archives of Environmental Protection – de Gruyter

Published: Dec 1, 2017

References

  • a novel image analysis program for microbial ecology and biofi lm research
    Daims
  • analysis to estimate the settleability and concentration of activated sludge
    Grijspeerdt
  • Role of digital image analysis in activated sludge monitoring in wastewater treatment plants i in Polish
    Liwarska
  • Dilution and magnification effects on image analysis applications in activated sludge characterization Microscopy and
    Mesquita
  • New automated procedure to determine the contribution of fi lamentous bacteria in activated sludge fl ocs of and in Polish
    Liwarska
  • Characterisation of activated sludge by automated image analysis
    Motta
  • - user manual DOME Process control of activated sludge plants by microscopic investigation Publishing
    Daims
  • Application of image analysis techniques in activated sludge wastewater treatment processes
    Liwarska
  • Illumination compensated segmentation of microscopic images of activated sludge fl ocs International Conference on Digital Techniques and Applications DICTA Adelaide SA
    Khan