TRACKING OF VIRUS PARTICLES IN TIME-LAPSE FLUORESCENCE MICROSCOPY IMAGE SEQUENCES

Author

Godinez, W.J. ; Lampe, M. ; Wörz, S. ; Müller, B. ; Eils, R. ; Rohr, K.

Author_Institution

Heidelberg Univ.

fYear

2007

fDate

12-15 April 2007

Firstpage

256

Lastpage

259

Abstract

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

Keywords

biomedical optical imaging; fluorescence; image sequences; microorganisms; optical microscopy; HIV-1 particles; deterministic scheme; image sequences; probabilistic approach; spatio-temporal relationships; time-lapse fluorescence microscopy; virus particles; Bioinformatics; Biomedical imaging; Computer viruses; Computer vision; Fluorescence; Genomics; Image sequences; Microscopy; Particle tracking; Viruses (medical);

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

1-4244-0672-2

Electronic_ISBN

1-4244-0672-2

Type

conf

DOI

10.1109/ISBI.2007.356837

Filename

4193271