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Systematic Analysis of Jurkat T-Cell Deformation in Fluorescence Microscopy Data

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Bildverarbeitung für die Medizin 2017

Abstract

In the adaptive immune system, Calcium (Ca2+) is acting as a fundamental on-switch. Fluorescence microscopy is used to study the underlying mechanisms. However, living cells introduce motion and for the analysis of (sub-)cellular Ca2+ activity a precise motion analysis is necessary. We present an image based workflow to detect and analyze cell motion. We evaluate our approach on Jurkat T-cells using cell motion as observed from actual time series of cell images. Results indicate, that our method is able to detect deformation with an error of 0.2222 ± 0.086μm which is in the range of the image resolution, showing that accurate cell deformation detection is possible and feasible.

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Correspondence to Sven-Thomas Antoni .

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© 2017 Springer-Verlag GmbH Deutschland

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Antoni, ST. et al. (2017). Systematic Analysis of Jurkat T-Cell Deformation in Fluorescence Microscopy Data. In: Maier-Hein, geb. Fritzsche, K., Deserno, geb. Lehmann, T., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2017. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-54345-0_63

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  • DOI: https://doi.org/10.1007/978-3-662-54345-0_63

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  • Publisher Name: Springer Vieweg, Berlin, Heidelberg

  • Print ISBN: 978-3-662-54344-3

  • Online ISBN: 978-3-662-54345-0

  • eBook Packages: Computer Science and Engineering (German Language)

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