Evidence map›Paper›PMID 42215517›Full record

ArticleScientific reports2026

Investigating active dynamics of contractile actomyosin gels with micro particle image velocimetry (micro-PIV) analysis.

Sakshi Choudhary, Subhaya Bose, Yuval Amit, Daniel Sevilla Sanchez, Gefen Livne, Kinjal Dasbiswas, Anne Bernheim-Groswasser

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sakshi Choudhary *Department of Chemical Engineering , Ben Gurion University of the Negev, Beer-Sheva, 84105, Israel.
Subhaya Bose *Department of Physics, University of California, Merced, CA, 95340, USA.
Yuval AmitDepartment of Chemical Engineering , Ben Gurion University of the Negev, Beer-Sheva, 84105, Israel.
Daniel Sevilla SanchezIlse Katz Institute for Nanoscale Science and Technology, Ben Gurion University of the Negev, Beer-Sheva, 84105, Israel.
Gefen LivneDepartment of Chemical Engineering , Ben Gurion University of the Negev, Beer-Sheva, 84105, Israel.
Kinjal DasbiswasDepartment of Physics, University of California, Merced, CA, 95340, USA. kdasbiswas@ucmerced.edu.
Anne Bernheim-GroswasserDepartment of Chemical Engineering , Ben Gurion University of the Negev, Beer-Sheva, 84105, Israel. bernheim@bgu.ac.il.

Funding

Israel Science Foundation 2101/20Ministry of innovation, Science and Technology 3-17491Ministry of Innovation, Science and Technology 1001585065Ministry of Innovation, Science and Technology Jabotinsky scholarshipNational Science Foundation DMR-2340632National Science Foundation, US DMR-2340632
6 · The paper itself

Abstract

Micro-particle image velocimetry (micro-PIV) is a powerful imaging method for resolving flow fields in microscopic systems, but its application to rapidly deforming gels requires key modifications. Here, we adapt micro-PIV to quantify contraction dynamics of active actomyosin gels without invasive tracer beads by tracking local myosin-generated actin inhomogeneities. We show that accurate displacement measurements depend critically on optimizing the time interval over which displacements are computed and the number of frames used in ensemble correlation, relative to the poroelastic timescale and stage of contraction. To assess reliability, we quantify four complementary metrics: displacement vector fields, displacement-magnitude maps, radial profiles of radial and tangential displacement components, and ensemble-averaged orientation with rotational measures. Incorporating the elastic response of the gel, we extract radial strain profiles under an axisymmetric approximation and demonstrate robustness for irregular geometries and off-center contractions. Across conditions, we observe common radial signatures consisting of inward radial contraction with peak displacement at intermediate radii and effective radial stretching near the boundary. These deformation fields provide a basis for inferring spatial and orientational distributions of motor-generated active stresses using appropriate constitutive models. Our approach advances quantitative analysis of active poroelastic materials and has broad applications in biomaterials design, cytoskeletal dynamics, and morphogenesis.

Indexed as

ActomyosinRheologyAnimalsGelsMyosinsActomyosinGelsMyosinsComplex fluid dynamicsContractile actomyosin gelsCytoskeletonEnsemble correlationMicro particle image velocimetry

Identifiers

PMID42215517
PMCPMC13454352

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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.