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CMEIAS-Aided Microscopy of the Spatial Ecology of Individual Bacterial Interactions Involving Cell-to-Cell Communication within Biofilms

机译:CMEIAS辅助的涉及生物膜内细胞间通讯的细菌相互作用的空间生态的显微镜

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This paper describes how the quantitative analytical tools of CMEIAS image analysis software can be used to investigate in situ microbial interactions involving cell-to-cell communication within biofilms. Various spatial pattern analyses applied to the data extracted from the 2-dimensional coordinate positioning of individual bacterial cells at single-cell resolution indicate that microbial colonization within natural biofilms is not a spatially random process, but rather involves strong positive interactions between communicating cells that influence their neighbors' aggregated colonization behavior. Geostatistical analysis of the data provide statistically defendable estimates of the micrometer scale and interpolation maps of the spatial heterogeneity and local intensity at which these microbial interactions autocorrelate with their spatial patterns of distribution. Including in situ image analysis in cell communication studies fills an important gap in understanding the spatially dependent microbial ecophysiology that governs the intensity of biofilm colonization and its unique architecture.
机译:本文介绍了如何使用CMEIAS图像分析软件的定量分析工具来调查涉及生物膜内细胞间通信的原位微生物相互作用。各种空间模式分析应用于以单细胞分辨率从单个细菌细胞的二维坐标定位中提取的数据,表明天然生物膜内的微生物定殖不是空间随机的过程,而是涉及影响细胞的交流细胞之间的强正相互作用。他们邻居的聚集殖民行为。数据的地统计分析提供了微米尺度的统计上可辩护的估计值,以及空间异质性和局部强度的插值图,这些微生物相互作用在这些插值图上与它们的空间分布模式自相关。将原位图像分析包括在细胞通讯研究中,填补了理解控制生物膜定植强度及其独特结构的空间依赖性微生物生态学的重要空白。

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