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Focus on Bio-Image Informatics

  • Book
  • © 2016

Overview

Editors:
  1. Winnok H. De Vos

    1. Dept. of Veterinary Sciences, University of Antwerp, Antwerpen, Belgium

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  2. Sebastian Munck

    1. Dept. of Human Genetics, KU Leuven, Leuven, Belgium

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    You can also search for this editor in PubMed   Google Scholar

  3. Jean-Pierre Timmermans

    1. University of Antwerp, Antwerp, Belgium

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  • Practical approach to extracting knowledge from biological images
  • Describes bioinformatics tools for the analysis of biological images
  • Includes chapters on open source tools and data storage

Part of the book series: Advances in Anatomy, Embryology and Cell Biology (ADVSANAT, volume 219)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Seeing Is Believing: Quantifying Is Convincing: Computational Image Analysis in Biology

    • Ivo F. Sbalzarini
    Pages 1-39

  3. Image Degradation in Microscopic Images: Avoidance, Artifacts, and Solutions

    • Joris Roels, Jan Aelterman, Jonas De Vylder, Saskia Lippens, Hiêp Q. Luong, Christopher J. Guérin et al.
    Pages 41-67

  4. Transforms and Operators for Directional Bioimage Analysis: A Survey

    • Zsuzsanna Püspöki, Martin Storath, Daniel Sage, Michael Unser
    Pages 69-93

  5. Analyzing Protein Clusters on the Plasma Membrane: Application of Spatial Statistical Analysis Methods on Super-Resolution Microscopy Images

    • Laura Paparelli, Nikky Corthout, Benjamin Pavie, Wim Annaert, Sebastian Munck
    Pages 95-122

  6. Image Informatics Strategies for Deciphering Neuronal Network Connectivity

    • Jan R. Detrez, Peter Verstraelen, Titia Gebuis, Marlies Verschuuren, Jacobine Kuijlaars, Xavier Langlois et al.
    Pages 123-148

  7. Integrated High-Content Quantification of Intracellular ROS Levels and Mitochondrial Morphofunction

    • Tom Sieprath, Tobias D. J. Corne, Peter H. G. M. Willems, Werner J. H. Koopman, Winnok H. De Vos
    Pages 149-177

  8. KNIME for Open-Source Bioimage Analysis: A Tutorial

    • Christian Dietz, Michael R. Berthold
    Pages 179-197

  9. Segmenting and Tracking Multiple Dividing Targets Using ilastik

    • Carsten Haubold, Martin Schiegg, Anna Kreshuk, Stuart Berg, Ullrich Koethe, Fred A. Hamprecht
    Pages 199-229

  10. Challenges and Benchmarks in Bioimage Analysis

    • Michal Kozubek
    Pages 231-262

  11. Bioimage Informatics for Big Data

    • Hanchuan Peng, Jie Zhou, Zhi Zhou, Alessandro Bria, Yujie Li, Dean Mark Kleissas et al.
    Pages 263-272
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Keywords

About this book

This volume of Advances Anatomy Embryology and Cell Biology focuses on the emerging field of bio-image informatics, presenting novel and exciting ways of handling and interpreting large image data sets. A collection of focused reviews written by key players in the field highlights the major directions and provides an excellent reference work for both young and experienced researchers.

Editors and Affiliations

  • Dept. of Veterinary Sciences, University of Antwerp, Antwerpen, Belgium

    Winnok H. De Vos

  • Dept. of Human Genetics, KU Leuven, Leuven, Belgium

    Sebastian Munck

  • University of Antwerp, Antwerp, Belgium

    Jean-Pierre Timmermans

About the editors

Jean-Pierre Timmermans is volume and series editor of Advances in Anatomy, Embryology and Cell Biology, President of the UA Research Council and European Associate Editor of "The Anatomical Record" and works at University of Antwerp, Antwerp, Belgium

Bibliographic Information

  • Book Title: Focus on Bio-Image Informatics

  • Editors: Winnok H. De Vos, Sebastian Munck, Jean-Pierre Timmermans

  • Series Title: Advances in Anatomy, Embryology and Cell Biology

  • DOI: https://doi.org/10.1007/978-3-319-28549-8

  • Publisher: Springer Cham

  • eBook Packages: Medicine, Medicine (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2016

  • Softcover ISBN: 978-3-319-28547-4Published: 31 May 2016

  • eBook ISBN: 978-3-319-28549-8Published: 20 May 2016

  • Series ISSN: 0301-5556

  • Series E-ISSN: 2192-7065

  • Edition Number: 1

  • Number of Pages: X, 272

  • Number of Illustrations: 4 b/w illustrations, 81 illustrations in colour

  • Topics: Cell Biology, Bioinformatics, Biotechnology

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