Evidence map›Paper›PMID 41298502›Full record

ArticleNature communications2025

A bioinspired self-powered optical tactile sensing system with ultrahigh sensitivity and ultralow detection limit.

Tingting Hou, Chaojie Chen, Ru Guo, Shaoshuai He, Yunlong Zi

Abstract read
In one paragraph

Article in Nature communications, 2025. 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

5 authors.

Tingting HouDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China.
Chaojie ChenDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China.ORCID http://orcid.org/0000-0001-6422-5514
Ru GuoDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China.
Shaoshuai HeThrust of Sustainable Energy and Environment, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China.
Yunlong ZiDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China. ylzi@hkust-gz.edu.cn.ORCID http://orcid.org/0000-0002-5133-4057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-sensitivity tactile perception is vital for precise robotic operations in human-machine interactions (HMI). Currently, state-of-the-art tactile perception relies on electrical sensors which demand complex circuits and decoding components, leading to increased energy consumption and susceptibility to electromagnetic interference. Hence, the utilization of human-perceptible signals, such as visible light, as the transmission medium is necessary. Inspired by the mechano-electro-optical transduction mechanism in dinoflagellate bioluminescence, here we propose a self-powered optical tactile sensing system (SOTS) for converting the electrical signal of pressure sensing into visible luminescent intensity, thereby enabling the wireless transmission and visualization of tactile information. The proposed SOTS features an ultrahigh sensitivity (22.4 kPa

Identifiers

PMID41298502
PMCPMC12749114

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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.