Gram-staining characterisation of activated sludge filamentous bacteria by automated colour analysis.
An automated image analysis method has been developed for the monitoring of the Gram-staining characteristics of filamentous bacteria in activated sludge. The binary method of pixel classification agreed with manual estimation (level of correlation of 0.9 for Gram-positive bacteria). Its robustness has been assessed by repeatability tests. Population shifts in terms of Gram-staining characteristics have been monitored in laboratory-scale experiments with two feeding schedules using this technique.
Pandolfi
Denis
D
Laboratoire des Sciences du Génie Chimique, CNRS-ENSIC-INPL, 1, rue Grandville, BP 451, F-54001 Nancy cedex, France.
Pons
Marie-Noëlle
MN
D015169:Colony Count, Microbial / Q000379:methods; D003124:Colorimetry / Q000379:methods*; D017143:Fuzzy Logic; D005840:Gentian Violet; D006090:Gram-Negative Bacteria / Q000166:cytology* / Q000302:isolation & purification*; D006094:Gram-Positive Bacteria / Q000166:cytology* / Q000302:isolation & purification*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods; D010619:Phenazines; D010865:Pilot Projects; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012722:Sewage / Q000382:microbiology*
C035863:Gram's stain; D010619:Phenazines; D012722:Sewage; D005840:Gentian Violet