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Exact solution for the Anisotropic Ornstein-Uhlenbeck process.

Rita M C de Almeida1,2,3, Guilherme S Y Giardini1, Mendeli Vainstein1

  • 1Instituto de Física, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.

Physica A
|March 20, 2023
PubMed
Summary
This summary is machine-generated.

We introduce a new Anisotropic Ornstein-Uhlenbeck process to model cell migration. This model unifies short-time diffusive behavior with long-time speed variations, improving predictions for biological systems.

Keywords:
Anisotropic persistent random walkModified Fürth equationOrnstein–Uhlenbeck process

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Area of Science:

  • Biophysics
  • Statistical Mechanics
  • Cell Biology

Background:

  • Active-Matter models often use overdamped dynamics with constant speed and random direction, sometimes including noise for diffusive motion.
  • Ornstein-Uhlenbeck processes use Langevin dynamics for velocity, predicting non-diffusive short-time motion.
  • Migrating cells exhibit short-time diffusive behavior and gradual speed variations at longer timescales.

Purpose of the Study:

  • To develop a unified model that explains both short-time diffusive and long-time speed variation regimes observed in migrating cells.
  • To address the limitations of existing isotropic models that cannot reconcile these different temporal behaviors.
  • To provide a theoretically robust framework for comparing simulations and experiments in cell migration studies.

Main Methods:

  • Analytical solution of an Anisotropic Ornstein-Uhlenbeck process for polarized particles.
  • Incorporation of Langevin dynamics for movement along the polarization direction.
  • Inclusion of a Wiener process for displacement in the orthogonal direction.

Main Results:

  • The proposed model analytically describes particle movement that is diffusive at short timescales and exhibits velocity variations at longer timescales.
  • This anisotropic approach successfully bridges the gap between models suitable for short-time diffusion and those for long-time speed dynamics.
  • A method is proposed to account for finite-precision effects in both experimental and simulation data.

Conclusions:

  • The Anisotropic Ornstein-Uhlenbeck process offers a unified theoretical framework for modeling cell migration dynamics.
  • This model provides a robust method for comparing dimensionless simulations with experimentally measured cell movement.
  • The findings facilitate more accurate and comparable analyses of biological particle and cell motility.