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细胞内物体追踪

Intracellular objects tracking.

作者信息

Kalaidzidis Yannis

机构信息

Max-Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, D-01307 Dresden, Germany.

出版信息

Eur J Cell Biol. 2007 Sep;86(9):569-78. doi: 10.1016/j.ejcb.2007.05.005. Epub 2007 Jul 23.

Abstract

The tracking of intracellular organelles and vesicles is becoming increasingly important for understanding cellular dynamics. Originally, the development of tracking algorithms was mainly pursued in other fields, e.g. aerospace/military/street surveillance. However, most of this algorithm is not directly applicable to live cell microscopy data. Here we describe the algorithms that have been successfully applied to object detection and tracking specifically in vivo and in vitro motility assays. The characteristics advantages and disadvantages of the different approaches are compared.

摘要

追踪细胞内细胞器和囊泡对于理解细胞动态变化正变得越来越重要。最初,追踪算法的开发主要是在其他领域进行的,例如航空航天/军事/街道监控。然而,这些算法大多不能直接应用于活细胞显微镜数据。在这里,我们描述了已成功应用于体内和体外运动分析中目标检测和追踪的算法。并比较了不同方法的特点、优点和缺点。

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