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.
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
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