Segmentation and tracking of migrating cells in videomicroscopy with parametric active contours:: A tool for cell-based drug testing
Segmentation and tracking of migrating cells in videomicroscopy with parametric active contours:: A tool for cell-based drug testing
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DOI：
10.1109/tmi.2002.806292
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发表时间：
2002-10-01
影响因子：
10.6
通讯作者：
Olivo-Marin, JC
中科院分区：
文献类型：
--
作者：
Zimmer, C;Labruyère, E;Olivo-Marin, JC
本文提出了一种用于从体外视频显微镜数据中定量分析细胞动力学的分割和跟踪方法。该方法基于参数活动轮廓，并包括几个自适应，以解决细胞成像的重要困难，特别是存在称为伪足的低对比度边界变形，以及细胞之间发生多次接触。首先，我们使用了一种基于平均强度离散度的边缘图，该图利用了相对背景的均质性来帮助检测伪足和相邻细胞之间的界面。其次，我们引入了轮廓之间的排斥相互作用，允许正确分割接触的对象，并克服了以前报道的加强轮廓分离的技术的缺点。我们的跟踪技术在真实的数据集上得到了验证，并与人工定义的地面真实情况进行了比较，并成功地应用于生物研究项目中阿米巴的运动研究。
This paper presents a segmentation and tracking method for quantitative analysis of cell dynamics from in vitro videomicroscopy data. The method is based on parametric active contours and includes several adaptations that address important difficulties of cellular imaging, particularly the presence of low-contrast boundary deformations known as pseudopods, and the occurence of multiple contacts between cells. First, we use an edge map based on the average intensity dispersion that takes advantage of relative background homogeneity to facilitate the detection of both pseudopods and interfaces between adjacent cells. Second, we introduce a repulsive interaction between contours that allows correct segmentation of objects in contact and overcomes the shortcomings of previously reported techniques to enforce contour separation. Our tracking technique was validated on a realistic data set by comparison with a manually defined ground-truth and was successfully applied to study the motility of amoebae in a biological research project.