Evidence map›Paper›PMID 42191707›Full record

ArticleNature communications2026

Strain-localized luminescent e-skin for high-resolution pressure mapping and visual force feedback.

Zixiong Wu, Shuwen Chen, Shicheng Fan, Zheng Qiao, Jiaming Qi, Yusheng Zhang, Chwee Teck Lim

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Zixiong Wu *Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.
Shuwen Chen *Institute of Medical Equipment Science and Engineering, Huazhong University of Science and Technology, Wuhan, China. shuwenchen@hust.edu.cn.ORCID http://orcid.org/0000-0002-6611-3599
Shicheng FanDepartment of Biomedical Engineering, National University of Singapore, Singapore, Singapore.
Zheng QiaoDepartment of Biomedical Engineering, National University of Singapore, Singapore, Singapore.
Jiaming QiDepartment of Biomedical Engineering, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-8254-4954
Yusheng ZhangCollege of Biomedical Engineering, Sichuan University, Chengdu, China.
Chwee Teck LimDepartment of Biomedical Engineering, National University of Singapore, Singapore, Singapore. ctlim@nus.edu.sg.ORCID http://orcid.org/0000-0003-4019-9782

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic skins (e-skins) that emulate human intuitive tactile perception with visual feedback capabilities are vital for next-generation wearables, robotics, and biomedical applications. However, existing visualized pressure mapping systems either require dense pixelated arrays that add bulk, complexity and signal crosstalk, or rely on rigid or semi‑rigid architecture,  and are not able to conform to dynamically changing curved, soft surfaces. Here, we report a soft mechano-electroluminescent e-skin for high-resolution visualized pressure mapping. Quantitative pressure sensing is achieved on curved and compliant substrates. Built with an ultrathin, entirely soft microstructured architecture, it harnesses strain-localized deformation and intrinsic, in‑situ force-electric-optical coupling within a continuous device stack to achieve high‑fidelity pressure mapping without discrete sensing pixels. It achieves a spatial resolution of 30 μm (847 dpi) and high luminescent sensitivity (1.12 cd·m⁻²·kPa⁻¹). This e-skin allows real-time mapping of pressure distributions and recognition of fine tactile features like fingerprints. Integrated with plantar sensors and also laparoscopic tools, it also enables visual force feedback, enhancing gait analysis and surgical training, respectively. This approach offers a soft, compact, multimodal platform for intelligent tactile interfaces.

Indexed as

Feedback, SensoryWearable Electronic DevicesHumansLuminescencePressureTouch

Identifiers

PMID42191707
PMCPMC13389398

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.