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Feature analysis of wrapped phases of nucleated cells in polar coordinates

机译:极性坐标中核细胞包裹阶段的特征分析

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Digital phase microscopy has made great progress in the study of morphology and dynamics of biological cells,especially the homogeneous cells. For the heterogeneous nucleated cells with relatively complex internal structures,there are still few methods of phase unwrapping suitable for observation and measurement. In this paper, a method isproposed to identify the substructure of cells only with their wrapped phases. According to the structural features ofreal nucleated cells, their similar models are established firstly, and then their wrapped phases are obtained inCartesian coordinates and polar coordinates. Based on the relationship between the parameters of the two coordinatesystems, the pattern recognition and image processing techniques are used to analyze the parcel phase of thesingle-core and multi-core, regular and irregular kernels, and the central and boundary kernel models. Then, thetexture shape distribution, the texture overlap condition, the opening and closing state of the equal phase line, thepeak number and the peak position are selected as reference features, and these reference features are combined andoptimized as the judgment condition for identifying the nuclear structure model, and the wrapped phase in polarcoordinates is screened and identified, which effectively distinguishes three typical types of nuclear cell models. Itprovides a new, unpacked method for the classification and identification the substructures of the nucleated cells.
机译:数字阶段显微镜在生物细胞的形态和动态研究中取得了很大进展,特别是均匀细胞。对于具有相对复杂的内部结构的异质核细胞,仍有很少的相位展开方法适用于观察和测量。在本文中,一种方法是提出仅使用包裹的阶段识别细胞的子结构。根据结构特征真实核细胞,首先建立它们类似的模型,然后获得其包裹的阶段笛卡尔坐标和极性坐标。基于两个坐标参数之间的关系系统,模式识别和图像处理技术用于分析包裹阶段单核和多核,常规和不规则内核,以及中央和边界内核模型。然后,这纹理形状分布,纹理重叠条件,相等相线的打开和关闭状态,选择峰值和峰值位置作为参考功能,并且这些参考功能组合和优化作为识别核结构模型的判断条件,并以极性的包装相筛选和识别坐标,从而有效地区分了三种典型类型的核细胞模型。它为分类提供新的未包装方法,并识别核细胞的子结构。

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