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Assisting the Machine Paradigms for Human-Machine Interaction in Single Cell Tracking

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Book cover Bildverarbeitung für die Medizin 2013

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

Zusammenfassung

Single cell tracking emerged as one of the fundamental experimental techniques over the past years in basic life science research. Though a large number of automated tracking methods has been introduced, they are still lacking the accuracy to reliably track complete cellular genealogies over many generations. Manual tracking on the other hand is tedious and slow. Semi-automated approaches to cell tracking are a good compromise to obtain comprehensive information in feasible amounts of time. In this work, we investigate the efficacy of different interaction paradigms for manual correction and processing of precomputed tracking results and present a respective tool that implements those strategies.

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Author information

Authors and Affiliations

  1. Institute for Medical Informatics and Biometry, TU Dresden, Dresden, Deutschland

    Nico Scherf, Konstantin Thierbach, Thomas Zerjatke, Ingmar Glauche & Ingo Roeder

  2. Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Deutschland

    Michael Kunze, Patryk Burek & Heinrich Herre

Authors
  1. Nico Scherf
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  2. Michael Kunze
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  3. Konstantin Thierbach
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  4. Thomas Zerjatke
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  5. Patryk Burek
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  6. Heinrich Herre
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  7. Ingmar Glauche
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  8. Ingo Roeder
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Corresponding author

Correspondence to Nico Scherf .

Editor information

Editors and Affiliations

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

    Hans-Peter Meinzer

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

    Thomas Tolxdorff

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© 2013 Springer-Verlag Berlin Heidelberg

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Scherf, N. et al. (2013). Assisting the Machine Paradigms for Human-Machine Interaction in Single Cell Tracking. In: Meinzer, HP., Deserno, T., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2013. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36480-8_22

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