Lab

Computational Cell Analytics

A University of Göttingen research group building deep learning methods and open-source tools for segmenting and analyzing biomedical images.

Website
1 model

Computational Cell Analytics is a research group led by Prof. Dr. Constantin Pape at the Institute of Computer Science, University of Göttingen, Germany. The group develops machine learning methods for the analysis of biomedical imaging data, with a focus on segmentation foundation models. It is the team behind widely used tools such as micro-sam (Segment Anything for Microscopy) and MedicoSAM, which adapt vision foundation models to microscopy and medical imaging workflows.

Models (1)

MedicoSAM

Computational Cell Analytics

Released January 20, 2025

931

Segment Anything Model finetuned on diverse medical images, giving a reusable promptable checkpoint for interactive and automatic image segmentation.

Imaging