A collection of research images and videos.

By injecting 1 ┬Ám spheres (green dots) and performing particle tracking velocimetry, we obtain quantitative measurements of cerebrospinal fluid flow through perivascular spaces in living mouse brains. Flow speeds are slower for high blood pressure (right panel) than normal blood pressure (left panel). Based on results reported in Mestre, Tithof, et al, Nature Commun. 9 (2018): 1-9.
The glymphatic system may offer a promising novel route for drug delivery to the brain. Here we inject a living mouse with hypertonic mannitol and image cerebrospinal fluid influx throughout the entire brain (left). Front tracking velocimetry (right) allows us to quantify the influx area and speed. From Plog et al. JCI Insight 3.20 (2018): e120922.

Winning video for the University of Rochester 2018 Art of Science competition. Based on simulations from Tithof et al., J. Fluid Mech. 828, 837-866 (2017).

Superimposed curves indicating particle tracks used for measuring the flow past a triangular obstacle (from Wang, Tithof, et al., Chaos 27, 123109 (2017).)
A state space projection showing the evolution of a chaotic Kolmogorov-like flow (blue curve) as it visits the neighborhoods of unstable equilibrium solutions (gray and red spheres). From Suri, Tithof, et al., Phys. Rev. Lett. 118, 114501 (2017).
Another state space projection, showing a 2D unstable manifold (blue surface) used to forecast a chaotic Kolmogorov-like flow (black, blue, and green curves). From Suri, Tithof, et al., Phys. Rev. E 98 (2018): 023105.
Images of a target pattern evolving in Rayleigh-Benard convection.
A weakly turbulent Kolmogorov-like flow, photographed with a slow shutter speed.