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A Comparative Morphological Classification of Marine Invertebrate Immune Cells

机译:海洋无脊椎动物免疫细胞的比较形态学分类

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The combination of a fractal formalism with linear methods of image analysis is the basis of a statistically reliable description of the morphology and classification of forms that are irregular from the point of view of Euclidean geometry, such as in vitro flattened amoeboid cells. We have developed a classification algorithm that is based on the morphological characteristics of immune cells of four species of marine invertebrates: the bivalves Spisula sachalinensis (Schrenck, 1862) and Callista brevisiphonata (Carpenter, 1864) and the echinoderms Aphelasterias japonica (Bell, 1881) and Asterias amurensis (Lutken, 1871). The morphological signs of the cells included dimensional characteristics (area and perimeter), features of the circle and the convex hull that circumscribes the cell, characteristics of the symmetry and roundness of the cell, as well as fractal dimension and lacunarity, which were determined in several ways while assessing the spatial complexity of cells. It was shown that the optimal classification structure of immune cells of all studied species is based on a similar universal algorithm, including hierarchical classification by the Ward method, using variables with the highest multimodality index that load different factors in the factor analysis.
机译:分形式与图像分析的线性方法的组合是统计上可靠的形态学描述的基础,这些形式的形式和分类是非欧克利德几何形状的观点,例如体外扁平的成像细胞。我们开发了一种分类算法,基于四种海洋无脊椎动物的免疫细胞的形态特征:双刺刺孢素sachalinensis(Schrenck,1862)和呼叫Brevisiphonata(Carpenter,1864)和echinoderms aphelasterias japonica(贝尔,1881年)和Asterias Amurensis(Lutken,1871年)。细胞的形态学迹象包括尺寸特征(面积和周长),圆的特征和凸壳,其围绕细胞,细胞对称性和圆度的特征,以及分形尺寸和脉乏程度几种方式,同时评估细胞的空间复杂性。结果表明,所有研究的物种的免疫细胞的最佳分类结构基于类似的通用算法,包括沃德方法的分层分类,使用具有最高多层索引的变量,该变量在因子分析中加载不同因素。

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