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Segmentation and Quantitative Analysis of Epithelial Tissues

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Drosophila

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1478))

Abstract

Epithelia are tissues that regulate exchanges with the environment. They are very dynamic and can acquire virtually any shape; at the cellular level, they are composed of cells tightly connected by junctions. Most often epithelia are amenable to live imaging; however, the large number of cells composing an epithelium and the absence of informatics tools dedicated to epithelial analysis largely prevented tissue scale studies. Here we present Tissue Analyzer, a free tool that can be used to segment and analyze epithelial cells and monitor tissue dynamics.

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Acknowledgement

We are grateful to all Tissue Analyzer users for reporting bugs and suggesting new features. In particular we are grateful to R. Etournay, A. Sagner, J.C. Roeper, C. Collinet, Q. Mao, J. Sedzinski, and the Dahmann team. This work was supported by CNRS (BA), RIKEN (DU) and the Max-Planck-Gesellschaft (SE).

Author information

Authors and Affiliations

  1. IBDM—Institut de Biologie du Développement de Marseille, Campus de Luminy case 907, 13288, Marseille, cedex 9, France

    Benoit Aigouy

  2. Graduate School of Life Sciences, Tohoku University, Aramaki Aoba 6-3, Sendai, 980-8578, Japan

    Daiki Umetsu

  3. Max Planck Institute of Molecular Cell Biology, Pfotenhauerstrasse 108, 01307, Dresden, Germany

    Suzanne Eaton

Authors
  1. Benoit Aigouy
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  2. Daiki Umetsu
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  3. Suzanne Eaton
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Corresponding author

Correspondence to Suzanne Eaton .

Editor information

Editors and Affiliations

  1. Institute of Genetics, Technische Universität Dresden, Dresden, Germany

    Christian Dahmann

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© 2016 Springer Science+Business Media New York

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Aigouy, B., Umetsu, D., Eaton, S. (2016). Segmentation and Quantitative Analysis of Epithelial Tissues. In: Dahmann, C. (eds) Drosophila. Methods in Molecular Biology, vol 1478. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6371-3_13

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  • DOI: https://doi.org/10.1007/978-1-4939-6371-3_13

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-6369-0

  • Online ISBN: 978-1-4939-6371-3

  • eBook Packages: Springer Protocols

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