Luca Panconi

The paper develops an agent-based simulator to study how nanoscale protein clustering affects cellular signaling responses, showing that clustering can digitize signals and alter cell behavior.

This study uses 3D DNA-PAINT MINFLUX nanoscopy to directly visualize Na,K-ATPase clustering in mammalian cells, revealing dimerization and higher-order nanoclusters.

SMLMFlow enhances structural resolution in single molecule localization microscopy by combining graph neural networks and hierarchical transformers with flow matching.

AI4CellFate predicts cell fate from microscopy timelapses using generative AI and contrastive learning, enabling early prediction with limited annotation.

This paper introduces TOBLERONE, a topological image analysis tool for automated cell segmentation and membrane order quantification using confocal microscopy images.