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Visualization in Biology and Medicine

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Scientific Visualization

Part of the book series: Mathematics and Visualization ((MATHVISUAL))

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Abstract

Basic biological research spans a huge range of scales, from studying the genome up to studying populations of people. Biological data is just as expansive. Advances in measuring devices and the public dissemination of large amounts of data has fundamentally changed the way that biologists conduct research and make scientific discoveries. Access to this data has made visualization a key component in almost every biological discovery workflow. In this chapter we focus on visualization in just a few areas of biology and highlight the challenges inherent within each. We present case studies from our own work to illustrate the impact that thoughtfully designed visualization systems can have on complex biological problems and highlight challenges for visualization research in these areas.

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Author information

Authors and Affiliations

  1. Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Im Neuenheimer Feld 368, 69120, Heidelberg, Germany

    Heike Leitte

  2. School of Computing, University of Utah, 72 S. Central Campus Dr, Salt Lake City, UT, 84112, USA

    Miriah Meyer

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  1. Heike Leitte
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  2. Miriah Meyer
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Corresponding author

Correspondence to Heike Leitte .

Editor information

Editors and Affiliations

  1. School of Computing Scientific Computing and Imaging Institu, University of Utah, Salt Lake City, Utah, USA

    Charles D. Hansen

  2. e-Research Centre, University of Oxford, Oxford, United Kingdom

    Min Chen

  3. School of Computing Scientific Computing and Imaging Institu, University of Utah, Salt Lake City, Utah, USA

    Christopher R. Johnson

  4. Department of Computer Science, Stony Brook University, New York, New York, USA

    Arie E. Kaufman

  5. Fachbereich Informatik, Technische Universität Kaiserslautern, Kaiserslautern, Germany

    Hans Hagen

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Leitte, H., Meyer, M. (2014). Visualization in Biology and Medicine. In: Hansen, C., Chen, M., Johnson, C., Kaufman, A., Hagen, H. (eds) Scientific Visualization. Mathematics and Visualization. Springer, London. https://doi.org/10.1007/978-1-4471-6497-5_22

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