Segmentation And Quantification Of The Cupriavidus Sp. Bacterium Using Microscopy Images

D. Ramachandram, M. Rajeswari, Satrishson Sandrasekaran
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Abstract

We present a simple technique to isolate and detect Cupriavidus sp. bacterium in microscopy images as a non-destructive means to monitor the growth and evolution of the bacteria. The approach uses OTSU binarization on the saturation channel of the bacteria sample images followed by morphological processing. This method of analysis has significantly speeded up the monitoring of biomass production from Cupriavidus sp. Bacteria at our laboratories.
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Cupriavidus Sp.细菌的显微图像分割与定量
我们提出了一种简单的技术,以分离和检测Cupriavidus sp.细菌的显微镜图像作为一种非破坏性的手段,以监测细菌的生长和进化。该方法对细菌样本图像的饱和通道进行OTSU二值化处理,然后进行形态学处理。这种分析方法大大加快了我们实验室对铜毒杆菌生物量生产的监测。
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Segmentation And Quantification Of The Cupriavidus Sp. Bacterium Using Microscopy Images An Intrusion Detection System Based on Multiple Level Hybrid Classifier using Enhanced C4.5 Highly Resilient Network Elements Clustering of Invariance Improved Legendre Moment Descriptor for Content Based Image Retrieval A Curve Fitting Approach to Separation of Non-Linearly Separable Pattern Classes, Applied to Chromosome Classification
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