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Non-rigid Temporal Alignment of 2D and 3D Multi-channel Microscopy Image Sequences of Human Cells

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Book cover Bildverarbeitung für die Medizin 2007

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

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Abstract

The analysis of fluroescence tagged proteins in live cells from multi-channel microscopy image sequences requires a registration to a reference frame to decouple the movement and deformation of cells from the movement of proteins. We have developed an intensity-based approach for the registration of 2D and 3D multi-channel microscopy image sequences. This approach can be directly applied to the intensity images or to the segmented images. Also, we have performed a comparison using a direct registration scheme to the reference frame and an incremental scheme taking into account results from preceding time steps. We have evaluated our approach based on 3D synthetic images of a simulated spherical cell with known deformation which has been calculated based on an analytic solution of the Navier equation given certain boundary conditions. We have also successfully applied our approach to 2D and 3D real microscopy image sequences.

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References

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Author information

Authors and Affiliations

  1. Dept. Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, University of Heidelberg, IPMB, and DKFZ Heidelberg, Im Neuenheimer Feld 364, 69120, Heidelberg, Germany

    I. Kim, S. Yang, C. Kappel, R. Eils & K. Rohr

  2. CNRS UMR 218, Curie Institute, 26 rue d’Ulm, 75248, Paris Cedex 05, France

    P. Le Baccon & E. Heard

Authors
  1. I. Kim
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  2. S. Yang
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  3. P. Le Baccon
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  4. E. Heard
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  5. C. Kappel
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  6. R. Eils
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  7. 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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Kim, I. et al. (2007). Non-rigid Temporal Alignment of 2D and 3D Multi-channel Microscopy Image Sequences of Human Cells. 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_4

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