IDENTIFYING FUSION EVENTS IN FLUORESCENCE MICROSCOPY IMAGES

被引：2
|
作者：
Godinez, W. J. [1 ,2 ]
Lampe, M. [3 ]
Woerz, S. [1 ,2 ]
Eils, R. [1 ,2 ]
Mueller, B. [3 ]
Rohr, K. [1 ,2 ]
机构：
[1] Heidelberg Univ, BIOQUANT, IPMB, Neuenheimer Feld 267, D-69120 Heidelberg, Germany
[2] DKFZ Heidelberg, Biomed Comp Vis Grp, Dept Bioinformat & Funct Genom, D-69120 Heidelberg, Germany
[3] Heidelberg Univ, Dept Virol, D-69120 Heidelberg, Germany
来源：
2009 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1 AND 2 | 2009年
关键词：
Biomedical imaging; microscopy images; tracking; virus particles; behavior identification; TRACKING; ALGORITHM; DYNAMICS; MOTION;
D O I：
10.1109/ISBI.2009.5193266
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
We are investigating the dynamical relationships exhibited by virus particles via fluorescence time-lapse microscopy. To obtain a quantitative description of each particle over time, these objects are tracked. To derive an explicit characterization of each particle as well as to identify interesting transient behaviors, the intensity over time of each particle needs to be analyzed. We have developed an approach based on hybrid stochastic systems for identifying behaviors of interest. We employ a hybrid particle filter for estimating the behavior of individual particles. The approach has been successfully applied to particles tracked in synthetic image sequences as well as in real image sequences displaying HIV-1 particles.
引用
收藏
页码：1170 / +
页数：2
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