利用Navier方程对二维细胞核图像进行非刚性轮廓的时序配准

D. Sorokin, Marco Tektonidis, K. Rohr, P. Matula
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引用次数: 8

摘要

在活细胞成像中,分析亚核蛋白在不受细胞核运动和变形影响的情况下的纯运动是很重要的,这种运动被称为细胞核整体运动。在这项工作中,我们提出了一种基于二维轮廓的图像配准方法来补偿核的全局运动。与以往的基于轮廓的方法相比,该方法采用了明确的刚性配准步骤来补偿核的平移和旋转,使用形态轮廓匹配来建立连续帧中轮廓之间更可靠的对应关系,并利用Navier方程更真实地模拟核的变形。我们的方法成功地应用于真实的活细胞显微镜图像序列,并与现有的基于轮廓的配准方法和基于强度的配准方法进行了实验比较。
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Non-rigid contour-based temporal registration of 2D cell nuclei images using the Navier equation
In live cell imaging it is essential to analyze the pure motion of sub-nuclear proteins without influence of the cell nucleus motion and deformation which is referred to as nucleus global motion. In this work, we propose a 2D contour-based image registration approach for compensation of the global motion of the nucleus. Compared to a previous contour-based approach, our approach employs an explicit rigid registration step to compensate the nucleus translation and rotation, it uses morphological contour matching for establishing more reliable correspondences between contours in consecutive frames, and utilizes the Navier equation for more realistically modeling the nucleus deformation. Our approach was successfully applied to real live cell microscopy image sequences and an experimental comparison with an existing contour-based registration method and an intensity-based registration method has been performed.
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