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Cell Tracking for Automatic Migration and Proliferation Analysis in High-Throughput Screens

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Bildverarbeitung für die Medizin 2012

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

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Abstract

Systematic analysis of cell migration and proliferation in large-scale image-based screens is important for the final evaluation as well as for optimization of experimental conditions. We here present a tracking approach for high-throughput image data, and extract global movement and growth patterns on a large scale. In particular, we analyze between-spot movement on cell arrays to estimate the confidence of the phenotypic readout, we determine the cellular reproduction time, and we automatically detect multi-polar divisions to support the identification of target genes. A quantitative evaluation of our approach showed that high segmentation and tracking accuracies of 92% and 98% are reached.

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Author information

Authors and Affiliations

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

    Nathalie Harder, Richa Batra, Nicolle Diessl, Roland Eils, Rainer König & Karl Rohr

  2. Department of Tumor Genetics, DKFZ, Heidelberg, Deutschland

    Sina Gogolin & Frank Westermann

Authors
  1. Nathalie Harder
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  2. Richa Batra
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  3. Sina Gogolin
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  4. Nicolle Diessl
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  5. Roland Eils
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  6. Frank Westermann
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  7. Rainer König
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  8. Karl Rohr
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Corresponding author

Correspondence to Nathalie Harder .

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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Harder, N. et al. (2012). Cell Tracking for Automatic Migration and Proliferation Analysis in High-Throughput Screens. 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_43

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