Train Tissue Studio 3 the way you would train a colleague – just provide some examples. Definiens Tissue Studio 3 applies powerful machine-learning approaches to enable users to quickly configure the detection of regions of interest. Users can simply brush over target regions across representative images to provide examples and click the “learn” button to complete the training process. Characteristic properties of the target tissue are automatically determined and used to identify similar regions on all images of the entire data set. While the robust detection of regions of interest in heterogeneous data sets requires sophisticated solutions, their configuration is kept intuitive and straightforward. Similarly, Definiens Tissue Studio 3 can automatically distinguish different types of nuclear morphology according to a few representative examples selected by the user. This allows restricting the analysis to epithelial, stromal or inflammatory nuclei only.