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KNIME for Open-Source Bioimage Analysis: A Tutorial

  • Christian DietzEmail author
  • Michael R. Berthold
Chapter
First Online:
Part of the Advances in Anatomy, Embryology and Cell Biology book series (ADVSANAT, volume 219)

Abstract

The open analytics platform KNIME is a modular environment that enables easy visual assembly and interactive execution of workflows. KNIME is already widely used in various areas of research, for instance in cheminformatics or classical data analysis. In this tutorial the KNIME Image Processing Extension is introduced, which adds the capabilities to process and analyse huge amounts of images. In combination with other KNIME extensions, KNIME Image Processing opens up new possibilities for inter-domain analysis of image data in an understandable and reproducible way.

Keywords

Zernike Moment Bioimage Analysis Meta Node Haralick Texture Feature Local Workspace 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Bioinformatics and Information MiningUniversity of KonstanzKonstanzGermany

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