Evidence map›Paper›PMID 41452234›Full record

ArticleAdvanced healthcare materials2026

In Vivo Skin 3-D Surface Reconstruction and Wrinkle Depth Estimation Using Handheld High Resolution Tactile Sensing.

Akhil Padmanabha, Arpit Agarwal, Catherine Li, Austin Williams, Dinesh K Patel, Sankalp Chopkar, Achu Wilson, Ahmet Ozkan, Wenzhen Yuan, Sonal Choudhary and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced healthcare materials, 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

13 authors.

Akhil PadmanabhaRobotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0001-8603-8146
Arpit AgarwalRobotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
Catherine LiRobotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
Austin WilliamsDepartment of Materials Science & Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
Dinesh K PatelDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
Sankalp ChopkarRobotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
Achu WilsonDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
Ahmet OzkanDepartment of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
Wenzhen YuanComputer Science, University of Illinois Urbana-Champaign, Siebel Center for Computer Science, Urbana, IL, USA.
Sonal ChoudharyDepartment of Dermatology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Arash MostaghimiDepartment of Dermatology, Brigham & Women's Hospital, Boston, MA, USA.
Zackory EricksonRobotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
Carmel MajidiRobotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA.

Funding

National Science Foundation DGE1745016National Science Foundation DGE2140739
6 · The paper itself

Abstract

3-D skin surface reconstruction offers promise for objective and quantitative dermatological assessment, but no portable, high-resolution device exists that has been validated and used for depth reconstruction across various body locations. We present a compact 3-D skin reconstruction probe based on GelSight tactile imaging with a custom elastic gel and a learning-based reconstruction algorithm for micron-level wrinkle height estimation. Our probe, integrated with a load cell for force sensing for consistent contact, achieves a mean absolute error of 12.55

Indexed as

Imaging, Three-DimensionalSkinSkin AgingTouchAdultAlgorithmsFemaleHumansMaleMiddle Aged3‐D reconstructiondermatological sensingtactile sensing

Identifiers

PMID41452234
PMCPMC13005686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.