A tool for the quantitative spatial analysis of complex cellular systems
A tool for the quantitative spatial analysis of complex cellular systems
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DOI：
10.1109/tip.2005.852466
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发表时间：
2005-09-01
影响因子：
10.6
通讯作者：
Ortiz-de-Solórzano, C
中科院分区：
文献类型：
--
作者：
Fernandez-Gonzalez, R;Barcellos-Hoff, MH;Ortiz-de-Solórzano, C
空间事件在很大程度上决定了细胞、组织和器官的生物学特性。在本文中，我们提出了一种工具，用于异质细胞群体的定量空间分析，并在二维和三维上使用人工和真实（乳腺组织）数据对该工具进行了实验验证。我们提出了精炼的相对邻域图作为一种手段，建立邻域之间的细胞在一个图像，同时建模组织的拓扑结构。然后，我们引入M函数作为一种定量评估单个细胞群体内部空间格局存在性或多个细胞群体空间分布之间关系的方法。最后，我们展示了一些例子来证明我们的方法的可行性。
Spatial events largely determine the biology of cells, tissues, and organs. In this paper, we present a tool for the quantitative spatial analysis of heterogeneous cell populations, and we show experimental validation of this tool using both artificial and real (mammary gland tissue) data, in two and three dimensions. We present the refined relative neighborhood graph as a means to establish neighborhood between cells in an image while modeling the topology of the tissue. Then, we introduce the M function as a method to quantitatively evaluate the existence of spatial patterns within one cell population or the relationship between the spatial distributions of multiple cell populations. Finally, we show a number of examples that demonstrate the feasibility of our approach.