Shape normalization of 3D cell nuclei using elastic spherical mapping
Shape normalization of 3D cell nuclei using elastic spherical mapping
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DOI：
10.1111/j.1365-2818.2008.02021.x
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发表时间：
2008-07-01
影响因子：
2
通讯作者：
Rohr, K.
中科院分区：
文献类型：
--
作者：
Gladilin, E.;Goetze, S.;Rohr, K.
基于图像数据的细胞和亚细胞结构的拓扑分析，是现代定量生物学的主要发展趋势之一。然而，由于细胞生物学的动态性质，不同细胞甚至同一细胞的时间序列的光学外观正在经历着形状和纹理的巨大变化，这使得比较不同细胞的形状和距离成为一项艰巨的任务。在没有正则不变性的情况下，细胞归一化的自然方法包括球面映射，从而能够根据正则球面坐标，即径向距离和角度来分析目标区域。在这项工作中，我们提出了一种基于物理的球面映射方法，并将其应用于人成纤维细胞核的多通道共聚焦激光扫描显微镜图像的拓扑分析。我们的实验结果表明，在球面有限元模板网格上，通过反仿射和弹性变换，可以自动获得整个核域的球面映射。
Topological analysis of cells and subcellular structures on the basis of image data, is one of the major trends in modern quantitative biology. However, due to the dynamic nature of cell biology, the optical appearance of different cells or even time-series of the same cell is undergoing substantial variations in shape and texture, which makes a comparison of shapes and distances across different cells a nontrivial task. In the absence of canonical invariances, a natural approach to the normalization of cells consists of spherical mapping, enabling the analysis of targeted regions in terms of canonical spherical coordinates, that is, radial distances and angles. In this work, we present a physically-based approach to spherical mapping, which has been applied for topological analysis of multichannel confocal laser scanning microscopy images of human fibroblast nuclei. Our experimental results demonstrate that spherical mapping of entire nuclear domains can automatically be obtained by inverting affine and elastic transformations, performed on a spherical finite element template mesh.