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Tracking B Cells from Two-Photon Microscopy Images Using Sequential Monte Carlo

  • Conference paper
5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2011)

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 93))

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Abstract

A python based software package that implements Sequential Monte Carlo (SMC) tracking is used for extracting dynamical information of a large collection of individual cells from two-photon microscopy image sequences.We show how our software tool is useful for quantifying the motility of B cells involved in immune response and for validating computational immunologic models. We describe the theory behind our algorithm and discuss the architecture of our software. Finally, we demonstrate both the functionality and utility using a practical example from videos of the germinal center reactions.

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Author information

Authors and Affiliations

  1. Computer Science, U. Vigo, Spain

    David Olivieri & Ivan Gomez Conde

  2. Fac. Biology, U. Vigo, Spain

    Jose Faro

Authors
  1. David Olivieri
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  2. Ivan Gomez Conde
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  3. Jose Faro
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Editor information

Editors and Affiliations

  1. Dep. Informática / CCTC, Universidade do Minho, 4710 - 057, Braga, Portugal

    Miguel P. Rocha

  2. Department of Computing Science and Control Faculty of Science, University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Juan M. Corchado Rodríguez

  3. Edificio Politécnico, ESEI: Escuela Superior de Ingeniería Informática, 32004, Ourense, Spain

    Florentino Fdez-Riverola

  4. Structural Biology and BioComputing Programme (CNIO), Spanish National Cancer Research Centre, Melchor Fdez Almagro 3, 28029, Madrid, Spain

    Alfonso Valencia

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© 2011 Springer-Verlag Berlin Heidelberg

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Olivieri, D., Conde, I.G., Faro, J. (2011). Tracking B Cells from Two-Photon Microscopy Images Using Sequential Monte Carlo. In: Rocha, M.P., Rodríguez, J.M.C., Fdez-Riverola, F., Valencia, A. (eds) 5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2011). Advances in Intelligent and Soft Computing, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19914-1_10

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  • DOI: https://doi.org/10.1007/978-3-642-19914-1_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19913-4

  • Online ISBN: 978-3-642-19914-1

  • eBook Packages: EngineeringEngineering (R0)

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