Evidence map›Paper›PMID 38807527›Full record

ArticleJournal of the Royal Society, Interface2024

Dynamics of centipede locomotion revealed by large-scale traction force microscopy.

J P Rieu, H Delanoë-Ayari, C Barentin, T Nakagaki, S Kuroda

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

J P RieuInstitut Lumière Matière, Université Claude Bernard Lyon 1, CNRS , Villeurbanne 69622, France.ORCID 0000-0003-0528-8819
H Delanoë-AyariInstitut Lumière Matière, Université Claude Bernard Lyon 1, CNRS , Villeurbanne 69622, France.
C BarentinInstitut Lumière Matière, Université Claude Bernard Lyon 1, CNRS , Villeurbanne 69622, France.
T NakagakiResearch Institute for Electronic Science, Hokkaido University, N20W10 , Kita-ku, Hokkaido 001-0020, Japan.
S KurodaFaculty of Software and Information Technology, Aomori University, Koubata 2-3-1 , Aomori 030-0943, Japan.

Funding

JSPS KAKENHI
6 · The paper itself

Abstract

We present a novel approach to traction force microscopy (TFM) for studying the locomotion of 10 cm long walking centipedes on soft substrates. Leveraging the remarkable elasticity and ductility of kudzu starch gels, we use them as a deformable gel substrate, providing resilience against the centipedes' sharp leg tips. By optimizing fiducial marker size and density and fine-tuning imaging conditions, we enhance measurement accuracy. Our TFM investigation reveals traction forces along the centipede's longitudinal axis that effectively counterbalance inertial forces within the 0-10 mN range, providing the first report of non-vanishing inertia forces in TFM studies. Interestingly, we observe waves of forces propagating from the head to the tail of the centipede, corresponding to its locomotion speed. Furthermore, we discover a characteristic cycle of leg clusters engaging with the substrate: forward force (friction) upon leg tip contact, backward force (traction) as the leg pulls the substrate while stationary, and subsequent forward force as the leg tip detaches to reposition itself in the anterior direction. This work opens perspectives for TFM applications in ethology, tribology and robotics.

Indexed as

ArthropodsLocomotionAnimalsMicroscopycentipedegaitinertial forceslarge-scale traction force microscopymulti-legged animal locomotionrheology of starch gels

Identifiers

PMID38807527
PMCPMC11285478

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.