Segmentation with StarDist and SplineDist

Trainer: Virginie Uhlmann and Martin Weigert 

Overview:  Segmentation is the process of partitioning a digital image into multiple image objects. This session goes over what segmentation is and introduces two methods: SplineDist, a machine learning framework for automated cell segmentation with spline curves, and StarDist, cell nuclei localisation via star-convex polygons.

Learning objectives:

After this session you should be able to:

• Identify the most common segmentation methods used in bioimage analysis
• Define which segmentation method is most fitted to for your analysis
• Identify suitable tools for segmentation of bioimages

Materials:

• Segmentation presentation (Virginie)
• Segmentation presentation (Martin)