Automated characterization of cell shape changes during amoeboid motility by skeletonization.

Automated characterization of cell shape changes during amoeboid motility by skeletonization.
复制标题

DOI:
10.1186/1752-0509-4-33
复制
发表时间:
2010-03-24
影响因子:
--
通讯作者:
Iglesias PA
Iglesias PA
中科院分区:
生物2区
文献类型:
--
作者:
Xiong Y;Kabacoff C;Franca-Koh J;Devreotes PN;Robinson DN;Iglesias PA

文献摘要

参考文献

被引文献

相似文献

细胞改变形状的能力对于许多细胞过程(包括细胞迁移)的正常功能至关重要。一种类型的细胞迁移,称为变形虫运动,涉及形态扩张和收缩的交替循环。传统上,这个过程的特点是由一些参数提供的形状变化,这是不足以区分表型的基础上,代表变形运动的局部伪足活动的全球信息。我们开发了一种自动检测和表征细胞伪足行为的方法。该方法使用了形态学图像处理的一种技术,将形状简化为一系列连接的线条。它涉及一系列自动算法,包括图像分割,边界平滑,去噪和分支修剪,并考虑到连续帧之间的细胞形状变化来检测突起和缩回活动。此外,这些活动被聚类成不同的组,每个组代表单个伪足的突出和缩回历史。我们说明了算法的chemotaxing Dictyosteoblasts细胞的电影,并表明,我们的方法使得有可能捕获的空间和时间的动态以及随机特征的伪足的行为。因此,该方法提供了一个强有力的工具,研究阿米巴运动。
The ability of a cell to change shape is crucial for the proper function of many cellular processes, including cell migration. One type of cell migration, referred to as amoeboid motility, involves alternating cycles of morphological expansion and retraction. Traditionally, this process has been characterized by a number of parameters providing global information about shape changes, which are insufficient to distinguish phenotypes based on local pseudopodial activities that typify amoeboid motility. We developed a method that automatically detects and characterizes pseudopodial behavior of cells. The method uses skeletonization, a technique from morphological image processing to reduce a shape into a series of connected lines. It involves a series of automatic algorithms including image segmentation, boundary smoothing, skeletonization and branch pruning, and takes into account the cell shape changes between successive frames to detect protrusion and retraction activities. In addition, the activities are clustered into different groups, each representing the protruding and retracting history of an individual pseudopod. We illustrate the algorithms on movies of chemotaxing Dictyostelium cells and show that our method makes it possible to capture the spatial and temporal dynamics as well as the stochastic features of the pseudopodial behavior. Thus, the method provides a powerful tool for investigating amoeboid motility.
DOI: 10.1038/ncb1536
发表时间: 2007-02-01
影响因子: 21.3
作者:
Andrew, Natalie;Insall, Robert H.
通讯作者: Insall, Robert H.
DOI: 10.1016/0022-5193(73)90175-6
发表时间: 1973-01-01
影响因子: 2
作者:
BLUM, H
通讯作者: BLUM, H
DOI: 10.1109/34.107013
发表时间: 1992-01-01
影响因子: 23.6
作者:
LEYMARIE, F;LEVINE, MD
通讯作者: LEVINE, MD
DOI: 10.1002/cm.20338
发表时间: 2009-03-01
影响因子: --
作者:
Bosgraaf, Leonard;van Haastert, Peter J. M.;Bretschneider, Till
通讯作者: Bretschneider, Till
DOI: 10.1016/0031-3203(94)00105-u
发表时间: 1995-03-01
影响因子: 8
作者:
OGNIEWICZ, RL;KUBLER, O
通讯作者: KUBLER, O