Region-based PDEs for cells counting and segmentation in 3D+time images of vertebrate early embryogenesis.
Region-based PDEs for cells counting and segmentation in 3D+time images of vertebrate early embryogenesis.
复制标题
DOI：
10.1155/2009/968986
复制
发表时间：
2009
影响因子：
7.6
通讯作者：
Sarti A
中科院分区：
文献类型：
--
作者：
Rizzi B;Sarti A
本文致力于从斑马鱼早期胚胎发育过程中拍摄的延时共聚焦显微镜图像中分割出细胞核。分割可以识别和量化动物模型中的细胞数量。这类信息与估计细胞在时间和空间上的增殖率等重要生物参数有关。我们的方法是基于无边缘的活动轮廓模型。我们比较了两种不同的模型方程公式，并评估了它们在分割不同形状和大小的原子核方面的性能。利用合适的黄金标准，对合成数据和真实数据进行定性和定量比较。然后，对斑马鱼胚胎发育过程中球体和屏蔽体之间的一些时间间隔应用最好的方法进行细胞分割和计数。
This paper is devoted to the segmentation of cell nuclei from time lapse confocal microscopy images, taken throughout early Zebrafish embryogenesis. The segmentation allows to identify and quantify the number of cells in the animal model. This kind of information is relevant to estimate important biological parameters such as the cell proliferation rate in time and space. Our approach is based on the active contour model without edges. We compare two different formulations of the model equation and evaluate their performances in segmenting nuclei of different shapes and sizes. Qualitative and quantitative comparisons are performed on both synthetic and real data, by means of suitable gold standard. The best approach is then applied on a number of time lapses for the segmentation and counting of cells during the development of a zebrafish embryo between the sphere and the shield stage.