Welcome to the WeigertLab!

We develop AI methods for image-based analysis to understand the spatial organization of biological systems across multiple scales. Our work bridges machine learning and microscopy, with a focus on creating computer vision techniques that are robust, data-efficient, and adapted to specific biological questions.

Our research focusses on:

• Object detection & segmentation: How can we accurately identify and delineate biological structures (e.g. cells, nuclei) in large-scale 2D and 3D images?
• Computational microscopy: How can we augment microscopes with task-specific computer vision methods?
• Self-supervised learning: How can we extract meaningful structure and dynamics from microscopy data with little or no manual annotation?

We are a research group based at TU Dresden and part of ScaDS.AI Dresden/Leipzig, one of Germany’s national centers of competence for artificial intelligence.