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通过自动颜色分析对活性污泥丝状细菌进行革兰氏染色表征

Gram-staining characterisation of activated sludge filamentous bacteria by automated colour analysis.

作者信息

Pandolfi Denis, Pons Marie-Noëlle

机构信息

Laboratoire des Sciences du Génie Chimique, CNRS-ENSIC-INPL, 1, rue Grandville, BP 451, F-54001 Nancy cedex, France.

出版信息

Biotechnol Lett. 2004 Dec;26(24):1841-6. doi: 10.1007/s10529-004-5280-7.

Abstract

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.

摘要

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。

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