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Tracking Virus Particles in Microscopy Images Using Multi-Frame Association

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Bildverarbeitung für die Medizin 2012

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

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Abstract

Automatic tracking of fluorescent particles is an essential task to study the dynamics of a large number of biological structures at a sub-cellular level. We have developed a probabilistic tracking approach based on multi-frame association finding and the Kalman filter. We have successfully applied the approach to synthetic as well as real microscopy image sequences of ALV virus particles and have performed a quantitative comparison with previous approaches.

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Author information

Authors and Affiliations

  1. University of Heidelberg, BIOQUANT, IPMB, and DKFZ, Heidelberg, Deutschland

    Astha Jaiswal, William J. Godinez, Roland Eils & Karl Rohr

  2. Molecular Parasitology, Humboldt-University Berlin, Berlin, Deutschland

    Maik J. Lehmann

Authors
  1. Astha Jaiswal
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  2. William J. Godinez
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  3. Roland Eils
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  4. Maik J. Lehmann
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  5. Karl Rohr
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Corresponding author

Correspondence to Astha Jaiswal .

Editor information

Editors and Affiliations

  1. Charité Campus Benjamin Franklin, Inst. Medizinische Informatik,, Universitätsklinikum Berlin, Hindenburgdamm 30, Berlin, 12200, Berlin, Germany

    Thomas Tolxdorff

  2. Inst. Medizinische Informatik, RWTH Aachen, Pauwelsstr. 30, Aachen, 52074, Germany

    Thomas Martin Deserno

  3. , Institut für Medizinische Informatik, Universität zu Lübeck, Ratzeburger Allee 160, Lübeck, 23562, Germany

    Heinz Handels

  4. Abt. Med./Biol.Inform./H0100, Deutsches Krebsforschungzentrum (DKFZ), Im Neuenheimer Feld 280, Heidelberg, 69120, Germany

    Hans-Peter Meinzer

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© 2012 Springer-Verlag Berlin Heidelberg

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Jaiswal, A., Godinez, W.J., Eils, R., Lehmann, M.J., Rohr, K. (2012). Tracking Virus Particles in Microscopy Images Using Multi-Frame Association. In: Tolxdorff, T., Deserno, T., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2012. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28502-8_41

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