Pandolfi Denis, Pons Marie-Noëlle
Laboratoire des Sciences du Génie Chimique, CNRS-ENSIC-INPL, 1, rue Grandville, BP 451, F-54001 Nancy cedex, France.
Biotechnol Lett. 2004 Dec;26(24):1841-6. doi: 10.1007/s10529-004-5280-7.
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.
已开发出一种自动图像分析方法,用于监测活性污泥中丝状细菌的革兰氏染色特征。像素分类的二元方法与人工估计结果一致(革兰氏阳性菌的相关系数为0.9)。通过重复性测试评估了该方法的稳健性。使用该技术,在实验室规模的实验中,采用两种进料方案监测了革兰氏染色特征方面的菌群变化。