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Tracking of Virus Particles in Time-Lapse Fluorescence Microscopy Image Sequences

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Bildverarbeitung für die Medizin 2007

Part of the book series: Informatik aktuell ((INFORMAT))

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.

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Author information

Authors and Affiliations

  1. Dept. Bioinformatics and Functional Genomics, University of Heidelberg, IPMB, and DKFZ Heidelberg, 69120, Heidelberg, Germany

    W. J. Godinez, S. Wörz, R. Eils & K. Rohr

  2. Dept. of Virology, University of Heidelberg, 69120, Heidelberg, Germany

    M. Lampe & B. Müller

Authors
  1. W. J. Godinez
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  2. M. Lampe
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  3. S. Wörz
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  4. B. Müller
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  5. R. Eils
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  6. K. Rohr
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Editor information

Editors and Affiliations

  1. Klinikum rechts der Isar Institut für Medizinische Statistik und Epidemiologie, Technische Universität München, Ismaninger Strasse 22, 81675, München

    Alexander Horsch

  2. Institut für Medizinische Informatik, Rheinisch-Westfälische Technische Hochschule Aachen, Pauwelsstrasse 30, 52057, Aachen

    Thomas M. Deserno

  3. Institut für Medizinische Informatik, Universitätsklinikum Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg

    Heinz Handels

  4. Abt. für Medizinische und Biologische Informatik / H0100, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 69120, Heidelberg

    Hans-Peter Meinzer

  5. Institut für Medizinische Informatik, Universitätsmedizin Berlin, Campus Benjamin Franklin Hindenburgdamm 30, 12200, Berlin

    Thomas Tolxdorff (Charité) (Charité)

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© 2007 Springer-Verlag Berlin Heidelberg

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Godinez, W.J., Lampe, M., Wörz, S., Müller, B., Eils, R., Rohr, K. (2007). Tracking of Virus Particles in Time-Lapse Fluorescence Microscopy Image Sequences. In: Horsch, A., Deserno, T.M., Handels, H., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2007. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71091-2_2

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