MicroStructFormer is a high-capacity Mask2Former model built on a Swin-Large backbone, designed for the semantic segmentation of ultrastructures in Electron Microscopy (EM) images. This model has been trained to accurately segment the following critical ultrastructural elements: Note: While the model architecture theoretically supports axon and myelin segmentation, this specific release is optimized and calibrated for the classes listed below due to dataset annotations. You can use this model easily via the transformers library. This Hugging Face model repository is associated with the following bioRxiv preprint: These model weights and associated architectures are provided for…