Xavier J B, White D C, Almeida J S
ITQB/UNL, R Qta Grande 6, 2780 Oeiras, Portugal.
Water Sci Technol. 2003;47(5):31-7.
In spite of the immediate visual appeal of confocal laser scanning microscopy images, the extraction of accurate reconstitutions of biofilm morphology requires a lengthy and computational intensive succession of processing steps. However, once performed, it provides ample reward by enabling the quantitative study of biofilm structure. A software suite of image processing tools for full automation of biofilm morphology quantification was developed by integrating preprocessing, segmentation and morphology quantification operations. This software toolbox was implemented in a web server and a user friendly interface was developed to facilitate image submission, storage and sharing, its access being unrestricted for scientific applications. The image bioinformatics tool which results from the integration of the processing operations can be accessed at http://www.itqb.unl.pt:111/clsmip/. Its use is described in this paper and is illustrated with an example of processing of experimental data describing the growth of a mixed species dentrifying biofilm.
尽管共聚焦激光扫描显微镜图像具有直接的视觉吸引力，但要准确重建生物膜形态，需要经过一系列冗长且计算密集的处理步骤。然而，一旦完成，它就能通过实现生物膜结构的定量研究带来丰厚回报。通过整合预处理、分割和形态量化操作，开发了一套用于生物膜形态量化完全自动化的图像处理工具软件套件。这个软件工具箱在一个网络服务器中实现，并开发了一个用户友好的界面来方便图像提交、存储和共享，其访问对科学应用不受限制。通过整合处理操作得到的图像生物信息学工具可在http://www.itqb.unl.pt:111/clsmip/访问。本文描述了其使用方法，并以描述混合菌种反硝化生物膜生长的实验数据处理示例进行说明。
