Susanne Wegener

This study develops an in silico model to simulate cerebral blood flow in mice with and without leptomeningeal collaterals, showing that myogenic reactivity, not collateral extent, drives hyperperfusion after stroke.

This study identifies spatial and dynamic molecular heterogeneity in adult mouse brain pericytes across anatomical regions, vascular positions, aging, ischemia, and circadian phases.

SALM uses deep learning to convert motion-blurred streaks into high-resolution brain imaging, reducing reconstruction time and enabling scalable, cross-platform applications.

This study identifies reprogrammed neutrophils with impaired transit mechanics as a driver of multi-organ capillary stalling after stroke, showing therapeutic potential through Fgr inhibition.

The paper shows pial collaterals propagate neurovascular signals between cortical territories, synchronizing blood flow responses beyond activated areas.

The paper develops OMNIMap to analyze cerebrovascular flow and identifies flow topology as a marker of capillary vulnerability after stroke.

This paper develops a new imaging technique to study brain perfusion in mice during ischemic stroke, showing its ability to map vascular changes and assess therapeutic effects.

This study introduces Bessel beam optical coherence microscopy to assess cerebrovascular network morphology and function in mice at high resolution and across multiple scales.

Pia-FLOW maps hemodynamic properties of the murine pial vascular network and shows its unified response to arterial occlusion.

This study shows that leptomeningeal collaterals regulate reperfusion in ischemic stroke, with poor collaterals leading to hemorrhage and poor outcomes.