Data Augmentation is quintessential for training modern AI-based image analysis methods. Through careful modification of the available training data, the training distribution is extended and/or covered in more detail, reducing the potential for overfitting. Batchgenerators …

When confronted with a new dataset, the application of AI-based segmentation methods is non-trivial. Substantial manual effort is required to optimize the network topology, preprocessing, training procedure and inference strategy to the task at hand. …

This python based tool extracts metadata from machine generated scanning microscopy images in the TIFF format. Currently only metadata from SEMs manufactured by Zeiss, and acquired by their own software is supported. In future, metadata …