This workflow reads images from a high throughput experiment acquired with an Olympus ScanR Microscope. A subset of the image data is used to train a classifier, which is then applied to the whole data set. A classifier is trained on exemplary images and applied to the whole dataset.
Workflow
Nuclei Classification Trainig
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 4.1.4
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KNIME AG, Zurich, Switzerland
Version 4.1.4
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KNIME AG, Zurich, Switzerland
Version 4.1.4
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Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG), Dresden, Germany
Version 4.0.0
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University of Konstanz / KNIME
Version 1.8.1
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KNIME / LOCI
Version 0.11.6
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KNIME AG, Zurich, Switzerland
Version 4.1.4
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KNIME AG, Zurich, Switzerland
Version 4.1.0
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KNIME AG, Zurich, Switzerland
Version 4.1.4
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KNIME AG, Zurich, Switzerland
Version 4.1.0
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