Evidence map›Paper›PMID 41342686›Full record

ArticleeLife2025

Sub-surface deformation of individual fingerprint ridges during tactile interactions.

Giulia Corniani, Zing S Lee, Matt J Carré, Roger Lewis, Benoit P Delhaye, Hannes P Saal

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

Giulia CornianiActive Touch Laboratory, School of Psychology, University of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0003-2800-3329
Zing S LeeHuman Interaction Group, School of Mechanical, Aerospace and Civil Engineering, University of Sheffield, Sheffield, United Kingdom.
Matt J CarréHuman Interaction Group, School of Mechanical, Aerospace and Civil Engineering, University of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0003-3622-990X
Roger LewisHuman Interaction Group, School of Mechanical, Aerospace and Civil Engineering, University of Sheffield, Sheffield, United Kingdom.
Benoit P DelhayeInstitute of Information and Communication Technologies, Electronics and Applied Mathematics, Université Catholique de Louvain, Louvain-la-Neuve, Belgium.ORCID https://orcid.org/0000-0003-3974-7921
Hannes P SaalActive Touch Laboratory, School of Psychology, University of Sheffield, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0002-7544-0196

Funding

Engineering and Physical Sciences Research Council EP/R001766/1Horizon 2020 Framework Programme 10.3030/813713
6 · The paper itself

Abstract

The human fingertip can detect small tactile features with a spatial acuity roughly the width of a fingerprint ridge. However, how individual ridges deform under contact to support accurate and high-precision tactile feedback is currently unknown. The complex mechanical structure of the glabrous skin, composed of multiple layers and intricate morphology within which mechanoreceptors are embedded, makes this question challenging. Here, we used optical coherence tomography to image and track sub-surface deformations of hundreds of individual fingerprint ridges across ten participants and four individual contact events at high spatial resolution in vivo. We calculated strain patterns in both the stratum corneum and viable epidermis in response to a variety of passively applied tactile stimuli, including static indentation, stick-to-slip events, sliding of a flat surface in different directions, and interaction with small tactile features, such as edges and grooves. We found that ridges could stretch, compress, and undergo considerable shearing orthogonal to the skin surface, but there was limited horizontal shear. Therefore, it appears that the primary components of ridge deformation and, potentially, neural responses are deformations of the ridge flanks and their relative movement, rather than overall bending of the ridges themselves. We conclude that the local distribution of mechanoreceptors across the ridges might be ideally suited to extract the resulting strain gradients and that the fingertip skin may possess a higher mechanical spatial resolution than that of a single ridge.

Indexed as

DermatoglyphicsFingersTouchAdultBiomechanical PhenomenaFemaleHumansMaleMechanoreceptorsTomography, Optical CoherenceTouch PerceptionYoung Adultfingerprinthumanneurosciencephysics of living systemsskin mechanicstactile sensing

Identifiers

PMID41342686
PMCPMC12677895

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.