Anna H. Klemm

The paper discusses AI4Life's Open Calls and Public Challenges, highlighting the state of bioimage analysis, tool availability, and the need for better data and infrastructure.

TissUUmaps 3 improves interactive visualization and exploration of large-scale spatial omics data through optimizations and new modules for analysis and quality assessment.

The paper introduces three plugins for visualization and quality control in large-scale multiplex tissue analysis to improve accuracy and user trust in automated approaches.

This paper presents a machine learning approach for cell classification in glioma tissue and identifies cell niches using graph neural networks.

This paper introduces a graph-based method for analyzing in situ sequencing data to identify spatial compartments in mouse brain tissue, linking them to known brain regions and morphology.