Memory of Blood Cells

Physics 16, s4
Researchers have studied how irregularly shaped particles travel through microchannels. Their work could have relevance to the transport of red blood cells through capillaries.
Z. Shen/University of Bordeaux

Blood flowing through arteries obeys simple fluid-dynamical equations. But from these large vessels branch progressively smaller ones, and in the tiniest vessels of all—capillaries, which are barely larger than red blood cells—the fluid equations are no longer valid. To obtain a better description of blood flow in such vessels, Chaouqi Misbah of Grenoble Alpes University in France and his colleagues numerically analyzed a system of particles traveling through a network of microchannels [1]. They found that the speed at which the particles spread through the lattice is governed by the particles’ concentration and deformability.

The researchers modeled a honeycomb lattice through which irregularly shaped, deformable particles traveled from top to bottom. When a particle encountered a fork, it could “choose” either the right or left channel. In a typical fluid—one in which the particles are very small relative to the channel width—the choice a particle makes is random and independent of its previous choices. This “random walk” causes the fluid to diffuse laterally as it moves through the network. But Misbah and his colleagues found that at low concentrations, irregularly shaped, stiff particles had a strong memory: if a particle chose the left fork previously, it strongly preferred to choose left again. Consequently, a fluid of such particles exhibited “superdiffusion,” spreading laterally much faster than in the random-walk case. If the researchers made the particles squishy, the memory effect wasn’t as strong, but the fluid still expanded outward faster than usual.

Misbah thinks that the role that particles’ stiffness and shape play on particle transport could have implications for diseases that affect red blood cells, such as sickle cell anemia and malaria.

–Katie McCormick

Katie McCormick is a freelance science writer based in Sacramento, California.


  1. Z. Shen et al., “Anomalous diffusion of deformable particles in a honeycomb network,” Phys. Rev. Lett. 130, 014001 (2023).

Subject Areas

Biological PhysicsFluid Dynamics

Related Articles

Memories Become Chaotic before They Are Forgotten
Biological Physics

Memories Become Chaotic before They Are Forgotten

A model for information storage in the brain reveals how memories decay with age. Read More »

How Nature’s Donuts Get Their Wrinkles
Soft Matter

How Nature’s Donuts Get Their Wrinkles

A new model explains the wrinkling patterns seen in nature’s donut-shaped objects, such as those found in jellyfish. Read More »

Why Fish Swim Intermittently
Biological Physics

Why Fish Swim Intermittently

A simulation shows in detail why the “burst-and-coast” swimming strategy is often more efficient than continuous swimming. Read More »

More Articles