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Segmenting and Tracking Fluorescent Cells in Dynamic 3-D Microscopy With Coupled Active Surfaces

机译:具有动态表面耦合的动态3D显微镜中的荧光细胞分段和跟踪

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Cell migrations and deformations play essential roles in biological processes, such as parasite invasion, immune response, embryonic development, and cancer. We describe a fully automatic segmentation and tracking method designed to enable quantitative analyses of cellular shape and motion from dynamic three-dimensional microscopy data. The method uses multiple active surfaces with or without edges, coupled by a penalty for overlaps, and a volume conservation constraint that improves outlining of cell/cell boundaries. Its main advantages are robustness to low signal-to-noise ratios and the ability to handle multiple cells that may touch, divide, enter, or leave the observation volume. We give quantitative validation results based on synthetic images and show two examples of applications to real biological data.
机译:细胞迁移和变形在诸如寄生虫入侵,免疫反应,胚胎发育和癌症的生物学过程中起着至关重要的作用。我们描述了一种全自动的分段和跟踪方法,旨在从动态三维显微镜数据进行细胞形状和运动的定量分析。该方法使用具有或不具有边缘的多个有源表面,再加上重叠的惩罚,以及体积保留约束,该约束改善了单元/单元边界的轮廓。它的主要优点是对低信噪比具有鲁棒性,并且能够处理可能会碰触,分割,进入或离开观测体积的多个像元。我们基于合成图像给出了定量验证结果,并显示了两个应用于实际生物学数据的示例。

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