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Segmentation and Shape Analysis of Macrophages Using Anglegram Analysis ?

机译:使用角度图分析对巨噬细胞进行分割和形状分析

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Cell migration is crucial in many processes of development and maintenance of multicellular organisms and it can also be related to disease, e.g., Cancer metastasis, when cells migrate to organs different to where they originate. A precise analysis of the cell shapes in biological studies could lead to insights about migration. However, in some cases, the interaction and overlap of cells can complicate the detection and interpretation of their shapes. This paper describes an algorithm to segment and analyse the shape of macrophages in fluorescent microscopy image sequences, and compares the segmentation of overlapping cells through different algorithms. A novel 2D matrix with multiscale angle variation, called the anglegram , based on the angles between points of the boundary of an object, is used for this purpose. The anglegram is used to find junctions of cells and applied in two different applications: (i) segmentation of overlapping cells and for non-overlapping cells; (ii) detection of the “corners” or pointy edges in the shapes. The functionalities of the anglegram were tested and validated with synthetic data and on fluorescently labelled macrophages observed on embryos of Drosophila melanogaster . The information that can be extracted from the anglegram shows a good promise for shape determination and analysis, whether this involves overlapping or non-overlapping objects.
机译:细胞迁移在多细胞生物的发展和维持的许多过程中至关重要,并且当细胞迁移到与其起源不同的器官时,它也可能与疾病(例如癌症转移)有关。在生物学研究中对细胞形状的精确分析可能会导致有关迁移的见解。然而,在某些情况下,细胞的相互作用和重叠会使细胞形状的检测和解释复杂化。本文描述了一种用于分割和分析荧光显微镜图像序列中巨噬细胞形状的算法,并通过不同的算法比较了重叠细胞的分割。为此,使用了一种基于对象边界点之间的角度的,具有多尺度角度变化的新颖2D矩阵(称为Anglegram)。角度图用于查找细胞的连接点,并应用于两种不同的应用:(i)重叠细胞的分割和非重叠细胞的分割; (ii)检测形状中的“角”或尖角。测试了角度图的功能,并用合成数据和在果蝇胚胎上观察到的荧光标记巨噬细胞进行了验证。可以从角度图中提取的信息显示出进行形状确定和分析的良好前景,无论涉及重叠对象还是非重叠对象。

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