Textural fingerprints: A comprehensive descriptor for biofilm structure development
Textural fingerprints: A comprehensive descriptor for biofilm structure development
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DOI：
10.1002/bit.21831
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发表时间：
2008-08-01
影响因子：
3.8
通讯作者：
Morgenroth, E.
中科院分区：
文献类型：
--
作者：
Milferstedt, K.;Pons, M. -N.;Morgenroth, E.
自动化，工具，以确定生物膜结构是必要的，以解释大的时间序列的生物膜图像。基于空间灰度依赖矩阵（SGLDM）评估的图像分析使我们能够监测响应于外部干扰（即，壁剪切应力的周期性增加）以大规模（即，> 1mm）。我们将我们的方法应用于在环形反应器中进行的实验，为期10周。生物膜发展的六种状态由其独特的结构来区分。先前暴露于快速增加的剪切力影响了额外的剪切力增加后所得的生物膜结构。此外，在生物膜图像的尺度上，剪切增加后的生物膜结构在空间上是不均匀的，并且导致在生物膜中的不同位置处分离后的空间上分化的再生长。SGLDM被进一步开发作为基于图像二值化的方法的替代方案，因为二值化导致低放大率和低分辨率图像的信息丢失。在图像数据的后处理过程中，通过K均值聚类和主成分图中的数据显示来识别生物膜发展的结构状态。定量选择代表性图像用于说明聚类的意义。图像数据的后处理对于管理数千个原始生物膜图像是必不可少的，因此提高了图像分析的有用性。
Automated,tools to determine biofilm structure are necessary to interpret large time series of biofilm images. Image analysis based on the evaluation of Spatial Gray Level Dependence Matrices (SGLDM) enabled us to monitor biofilm structure development in response to external disturbances (i.e., periodic increases of wall shear stress) at a large scale (i.e., >1 mm). We applied our method to an experiment conducted in an annular reactor over a 10-week period. Six states of biofilm development were differentiated by their unique structure. Previous exposure to rapidly increased shear influenced the resulting biofilm structure after additional shear increases. In addition, on the scale of the biofilm images, the biofilm structure after a shear increase was spatially heterogeneous and resulted in spatially differentiated regrowth after detachment at different locations in the biofilm. SGLDM was developed further as an alternative to approaches based on image binarization as binarization leads to information loss for low-magnification and low-resolution images. During post-processing of image data, structural states of biofilm development were identified by K-means clustering and data display in Principal Component plots. Quantitatively selected representative images were used to illustrate the meaning of the clusters. Posttreatment of image data was essential for managing several i thousands of raw biofilm images and therefore improved the usefulness of the image analysis.