Tracking of virus particles in time-lapse fluorescence microscopy image sequences

被引：9

作者：

Godinez, W. J. ^{[1
]}

Lampe, M. ^{[2
]}

Woerz, S. ^{[1
]}

Mueller, B. ^{[2
]}

Eils, R. ^{[1
]}

Rohr, K. ^{[1
]}

机构：

[1] Heidelberg Univ, IPMB, Dept Bioinformat & Funct Genom, Biomed Comp Vis Grp, Neuenheimer Feld 364, D-69120 Heidelberg, Germany

[2] Heidelberg Univ, Dept Virol, D-69120 Heidelberg, Germany

来源：

2007 4TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING : MACRO TO NANO, VOLS 1-3 | 2007年

关键词：

biomedical imaging; microscopy image sequences; tracking virus particles;

D O I：

10.1109/ISBI.2007.356837

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Modern developments in time-lapse microscopy enable the observation of a variety of processes exhibited by viruses. The dynamic nature of these processes requires the tracking of viruses over time to explore the spatio-temporal relationships. In this work, we developed deterministic and probabilistic approaches for multiple virus tracking. A quantitative comparison based on synthetic image sequences was carried out to evaluate the performance of the different algorithms. We have also applied the algorithms to real microscopy images of HIV-1 particles and have compared the tracking results with ground truth obtained from manual tracking. It turns out that the probabilistic approach outperforms the deterministic schemes.

引用

页码：256 / +

页数：2