Title :
Identifying fusion events in fluorescence microscopy images
Author :
Godinez, W.J. ; Lampe, M. ; Wörz, S. ; Eils, R. ; Müller, B. ; Rohr, K.
Author_Institution :
Dept. Bioinf. & Functional Genomics, Univ. of Heidelberg, Heidelberg, Germany
fDate :
June 28 2009-July 1 2009
Abstract :
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.
Keywords :
Bayes methods; biological techniques; cellular biophysics; fluorescence; microorganisms; optical microscopy; target tracking; time series; HIV-1 particles; fluorescence microscopy images; fluorescence time lapse microscopy; fusion event identification; hybrid particle filter; hybrid stochastic systems; object tracking; transient behaviors; virus particle dynamical relationships; Bioinformatics; Cells (biology); Computer vision; Fluorescence; Hidden Markov models; Image sequences; Microscopy; Particle tracking; Statistics; Stochastic systems; Biomedical imaging; behavior identification; microscopy images; tracking; virus particles;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193266
