rodcell_channel.jl

using InPartSBiome, Random
using CairoMakie, InPartSMakie

# rod cells in a periodic 30×20 domain
sim = Simulation(
    SimpleParticleContainer{2, RodCell{AreaMobility}}();
    domainsize = (30, 20),
    boundaries = (PeriodicBoundary, Boundary),
    rng = Random.Xoshiro(42),
)

addparticle!(sim;
    centerpos = SA[15.0, 10.0],
    φ = π * rand(sim.rng),
    params = RodCellParams(maxlength = 3, youngsmodulus = 1e4),
)

evolve!(sim, 0.1; tss = SimpleAdaptiveStepper(0.005, dtmax = 0.01))

fig = Figure()
ax  = Axis(fig[1, 1], aspect = DataAspect())
plt = plot!(ax, sim; particles = (; colorfunction = orientationcolor))

\partial_t \mathbf{r} = v \,\mathbf{\hat{e}}(\phi) + \sqrt{2D_t} \mathbf{\xi}_t(t)

\partial_t \phi = \sqrt{2/t_{rot}}\,\xi_{rot}(t)

\frac{\text{D}}{\text{D}t}\mathbf{Q} = \beta\mathbf{u}^\text{ST} + \mathbf\omega\mathbf{Q} - \mathbf{Q}\mathbf\omega + \mathcal{O}(\mathbf{Q})

\langle\Delta^2\rangle(\tau) = \left(4D_{t} + 2v^2 t_{rot}\right)\tau + 2v^2 t_{rot}^2 \left(e^{-\tau/t_{rot}} - 1\right)

\partial_t \rho + \nabla\cdot(\rho\mathbf{v})= \alpha\,\rho

Bittihn Group · MPI-DS Göttingen

Emergent Dynamics in Living Systems

We study how collective behavior emerges from the physical interactions of individual cells combined with internal regulatory processes and environmental feedback — building theory and simulations that connect single cells to the dynamics of colonies, tissues, and tumors. We work at the interface of physics and biology using the methods of statistical physics, active matter, nonlinear dynamics, and quantitative biology.

We are located at the department of Living Matter Physics at the Max Planck Institute for Dynamics and Self-Organization in Göttingen. Our group is part of the MSCA Doctoral Network CAFE-BIO and the StatMemBio initiative.

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July 3, 2026