Forces and symmetry breaking of a living meso-swimmer

Swimming is ubiquitous in nature and crucial for the survival of a wide range of organisms. The physics of swimming at the viscosity-dominated microscale and inertia-dominated macroscale is well studied. However, in between lies a complicated mesoscale with swimmers affected by non-linear and time-dependent fluid mechanics. The intricate motility strategies, combined with complex and periodically changing body shapes add extra challenges for accurate meso-swimming modelling. Here, we have further developed the micropipette force sensor to directly probe the swimming forces of the meso-organism <i>Artemia</i>. Through deep neural network-based image analysis, we show how <i>Artemia</i> achieves an increased propulsive force by increasing its level of time-reversal symmetry breaking. We present a universal force-based scaling law for a wide range of micro- to meso-organisms with different body shapes, swimming strategies, and level of inertia at the mesoscale. These results capture fundamental aspects of biological meso-swimming dynamics and provide guidance for future biomimicking meso-robot designs.

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Publication Details

Journal
Communications Physics
Published
2026-01-08
DOI
https://doi.org/10.1038/s42005-025-02486-3
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
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article

Forces and symmetry breaking of a living meso-swimmer

Matilda Backholm, Rafael A. Lara, N. Sharadhi, Anna A. L. Huttunen et al.
Communications Physics
Micro and Nano Robotics
article

Forces and symmetry breaking of a living meso-swimmer

Matilda Backholm, Rafael A. Lara, N. Sharadhi, Anna A. L. Huttunen, Lotta Ansas, Ensio J. G. Rislakki, Guilherme M. Bessa
article en

Abstract

Swimming is ubiquitous in nature and crucial for the survival of a wide range of organisms. The physics of swimming at the viscosity-dominated microscale and inertia-dominated macroscale is well studied. However, in between lies a complicated mesoscale with swimmers affected by non-linear and time-dependent fluid mechanics. The intricate motility strategies, combined with complex and periodically changing body shapes add extra challenges for accurate meso-swimming modelling. Here, we have further developed the micropipette force sensor to directly probe the swimming forces of the meso-organism <i>Artemia</i>. Through deep neural network-based image analysis, we show how <i>Artemia</i> achieves an increased propulsive force by increasing its level of time-reversal symmetry breaking. We present a universal force-based scaling law for a wide range of micro- to meso-organisms with different body shapes, swimming strategies, and level of inertia at the mesoscale. These results capture fundamental aspects of biological meso-swimming dynamics and provide guidance for future biomimicking meso-robot designs.

Communications PhysicsVol. 9(1)
Aalto University (FI)
Openalex Percentile: Top 99%
Micro and Nano Robotics
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