Julia Chabbert

This paper introduces STED-FM, a foundation model for STED microscopy that learns robust representations without extensive annotations, improving downstream tasks like classification, segmentation, and image denoising.

This paper develops a simulation platform, pySTED, to aid in creating AI-assisted super-resolution microscopy techniques by generating realistic data for training and testing AI models.