Mosaliganti K, Gelas A, Gouaillard A, Megason Sean G
Harvard Medical School, Department of Systems Biology, 200 Longwood Avenue, Boston, MA - 02115, USA.
Proc IEEE Int Symp Biomed Imaging. 2009:1354-1357. doi: 10.1109/ISBI.2009.5193316.
During embryogenesis, cells coordinate to form geometric arrangements. These arrangements are initially noticed as stereotypical clumps of cells that further divide to form a rigorous structure with a high density of cells. In this work, we explore density-based segmentation and tracking of cellular structures as observed in microscopy images. Using a new modified form of the Mumford-Shah energy functional, we derived a variational level-set for density-based segmentation. The novelty of the work lies in evolving an initialized contour that represents a salient structure on density maps to automatically generate novel cell structures upon convergence. We validate our methods and show results on confocal ear images of the zebrafish embryo.
在胚胎发生过程中,细胞协同形成几何排列。这些排列最初表现为典型的细胞团块,进一步分裂形成具有高密度细胞的严格结构。在这项工作中,我们探索基于密度的细胞结构分割和跟踪,如在显微镜图像中观察到的那样。使用一种新的改良形式的Mumford-Shah能量泛函,我们推导了基于密度分割的变分水平集。这项工作的新颖之处在于演化一个初始化轮廓,该轮廓代表密度图上的显著结构,在收敛时自动生成新的细胞结构。我们验证了我们的方法,并在斑马鱼胚胎的共聚焦耳部图像上展示了结果。