Evidence map›Paper›PMID 41944716›Full record

ArticleeLife2026

Detecting directed motion and confinement in single-particle trajectories using hidden variables.

François Simon, Guillaume Ramadier, Inès Fonquernie, Janka Zsok, Sergiy Patskovsky, Michel Meunier, Caroline Boudoux, Elisa Dultz, Lucien E Weiss

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

François SimonDepartment of Engineering Physics, Polytechnique Montréal, Montréal, Canada.ORCID https://orcid.org/0000-0002-0737-2312
Guillaume RamadierDepartment of Engineering Physics, Polytechnique Montréal, Montréal, Canada.ORCID https://orcid.org/0000-0002-5175-1643
Inès FonquernieDepartment of Engineering Physics, Polytechnique Montréal, Montréal, Canada.
Janka ZsokInstitute of Biochemistry, ETH Zürich, Zürich, Switzerland.
Sergiy PatskovskyDepartment of Engineering Physics, Polytechnique Montréal, Montréal, Canada.ORCID https://orcid.org/0000-0001-7175-481X
Michel MeunierDepartment of Engineering Physics, Polytechnique Montréal, Montréal, Canada.ORCID https://orcid.org/0000-0002-2398-5602
Caroline BoudouxDepartment of Engineering Physics, Polytechnique Montréal, Montréal, Canada.ORCID https://orcid.org/0000-0002-2145-9086
Elisa DultzInstitute of Biochemistry, ETH Zürich, Zürich, Switzerland.ORCID https://orcid.org/0000-0003-1114-5523
Lucien E WeissDepartment of Engineering Physics, Polytechnique Montréal, Montréal, Canada.ORCID https://orcid.org/0000-0002-0971-7329

Funding

Canada First Research Excellence Fund TransMedTech Startup FundsEidgenössische Technische Hochschule Zürich ETH-33 19-1Natural Sciences and Engineering Research Council of Canada RGPIN-06404-2016Natural Sciences and Engineering Research Council of Canada RGPIN-2022-05142Swiss National Science Foundation 320030-236124
6 · The paper itself

Abstract

Single-particle tracking is a powerful tool for understanding protein dynamics and characterizing microenvironments. As the motion of unconstrained nanoscale particles is governed by Brownian diffusion, deviations from this behavior are biophysically insightful. However, the stochastic nature of particle movement and the presence of localization error pose a challenge for the robust classification of non-Brownian motion. Here, we present

Indexed as

MotionSingle Molecule ImagingDiffusionEscherichia coliSaccharomyces cerevisiaeSoftwareanomalous diffusionconfined motiondirected motionE. colimolecular biophysicsphysics of living systemsS. cerevisiaeSingle-particle trackingstate-space modelstructural biologytrack analysis

Identifiers

PMID41944716
PMCPMC13056362

What OpenQuestion holds

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LicenceCC BY
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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.