Michiel Kleinnijenhuis

BEHAV3D-TP is a computational framework for analyzing single-cell behavior in tumor microenvironments using intravital microscopy data, revealing migratory behaviors linked to specific TME components in diffuse midline glioma.

This paper presents a semi-automated method for dense segmentation of 3D white matter EM data, producing detailed annotations of cellular and subcellular compartments.

This paper proposes a joint model for diffusion MRI and microscopy data to improve microstructural analysis by combining complementary information from both modalities.

The paper uses MRI data to show that white matter microstructure predicts functional connectivity between brain regions, with genetic variants linked to this relationship.