Quantitative motion analysis and visualization of cellular structures

被引：40

作者：

Gerlich, D ^{[1
]}

Mattes, J ^{[1
]}

Eils, R ^{[1
]}

机构：

[1] Deutsch Krebsforschungszentrum, D-69120 Heidelberg, Germany

来源：

METHODS | 2003年 / 29卷 / 01期

关键词：

four-dimensional imaging; live cell microscopy; graphical visualization; motion analysis; single-particle tracking; segmentation; registration; optical flow; active contour; confinement tree;

D O I：

10.1016/S1046-2023(02)00287-6

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The availability of cellular markers tagged with the green fluorescent protein (GFP) has recently allowed a large number of cell biological studies to be carried out in live cells, thereby addressing the dynamic organization of cellular structures. Typically, microscopes capable of video recording are used to generate time-resolved data sets. Dynamic imaging data are complex and often difficult to interpret by pure visual inspection. Therefore, specialized image processing methods for object detection, motion estimation, visualization, and quantitation are required. In this review, we discuss concepts for automated analysis of multidimensional image data from live cell microscopy and their application to the dynamics of cell nuclear subcompartments. (C) 2002 Elsevier Science (USA). All rights reserved.

引用

页码：3 / 13

页数：11

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