Images and annotations for training and testing of Glycogen-segmenter

These uploads contain raw images and annotations for training and testing the Glycogen-segmenter model presented in this paper: A semantic segmentation model to predict subcellular glycogen localization using transmission electron microscopy images. Anders Aagaard Hansen, Jacob Marcus Egebjerg, Kristian Solem, Kristoffer Jensen Kolnes, Daniel Wüstner, Jørgen F. P. Wojtaszewski, Jørgen Jensen, and Joachim Nielsen bioRxiv 2026.02.04.703703; doi: https://doi.org/10.64898/2026.02.04.703703 The folders are:region: contain 859 pairs of images and annotations for training the region-modelglycogen: contain 100 pairs of images and annotations for training the glycogen-modeltest: contain 92 pairs of images and annotations for testing the modeltest_ss: contain 84 images for testing the model on subsarcolemmal glycogen The model weights are also uploaded (region_model.pth and glycogen_model.pth) The code for traning, testing, and also a GUI can be found here: https://github.com/JoachimNielsenSDU/Glycogen-segmenter