Corniani, G. orcid.org/0000-0003-2800-3329, Lee, Z.S., Carré, M.J. orcid.org/0000-0003-3622-990X et al. (3 more authors) (2025) Sub-surface deformation of individual fingerprint ridges during tactile interactions. eLife, 13. RP93554. ISSN: 2050-084X
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.
Metadata
| Item Type: | Article |
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| Copyright, Publisher and Additional Information: | © 2024, Corniani et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited. http://creativecommons.org/licenses/by/4.0/ |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Mechanical, Aerospace and Civil Engineering The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
| Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 813713 |
| Date Deposited: | 05 Dec 2025 11:36 |
| Last Modified: | 05 Dec 2025 11:36 |
| Status: | Published |
| Publisher: | eLife Sciences Publications, Ltd |
| Refereed: | Yes |
| Identification Number: | 10.7554/elife.93554.3 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:235194 |

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