title: KNIME for Open-Source Bioimage Analysis: A Tutorial.
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.
authors.affiliation: Bioinformatics and Information Mining, University of Konstanz, Universitaetsstrasse 10, 78464, Konstanz, Germany. christian.dietz@uni-konstanz.de.
authors.forename: Christian
authors.initials: C
authors.lastname: Dietz
authors.affiliation: Bioinformatics and Information Mining, University of Konstanz, Universitaetsstrasse 10, 78464, Konstanz, Germany.
authors.forename: Michael R
authors.initials: MR
authors.lastname: Berthold
mesh_terms: D000465:Algorithms; D000818:Animals; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods / Q000706:statistics & numerical data*; D008856:Microscopy, Fluorescence / Q000295:instrumentation / Q000379:methods*; D012984:Software; D057188:Workflow