Evidence map›Paper›PMID 41530175›Full record

ArticleNature communications2026

Superelastic Tellurium Thermoelectric Coatings for Advanced Trimodal Microsensing.

Shaowei Cui, Linlin Li, Zi-Xin Huang, Yanzhe Yu, Mingxue Cai, Xiangyin Bao, Chaofan Zhang, Tiandong Zhang, Long Cheng, Wenxuan Zhang and 6 more

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

16 authors.

Shaowei Cui *State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.ORCID http://orcid.org/0000-0003-4750-3011
Linlin Li *State Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Zi-Xin Huang *School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan, 430205, China.ORCID http://orcid.org/0000-0002-4057-061X
Yanzhe YuState Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Mingxue CaiShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518000, China.ORCID http://orcid.org/0000-0002-8430-5930
Xiangyin BaoState Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Chaofan ZhangState Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Tiandong ZhangState Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.ORCID http://orcid.org/0000-0003-4454-8169
Long ChengState Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Wenxuan ZhangState Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Zheng LouState Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.ORCID http://orcid.org/0000-0001-5744-3759
Shuo WangState Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Wen GongResearch Center for Advanced Functional Ceramics, Wuzhen Laboratory, Jiaxing, Zhenjiang, 314500, China.
Chao-Feng WuCenter of Advanced Ceramic Materials and Devices, Yangtze Delta Region Institute of Tsinghua University, Zhejiang, 314006, China. wuchaofeng@tsinghua-zj.edu.cn.ORCID http://orcid.org/0009-0004-3338-188X
Lili WangState Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China. liliwang@semi.ac.cn.ORCID http://orcid.org/0000-0002-0422-4277
Yu WangState Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. yu.wang@ia.ac.cn.ORCID http://orcid.org/0000-0003-3049-004X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62122087National Natural Science Foundation of China (National Science Foundation of China) 62273342National Natural Science Foundation of China (National Science Foundation of China) 62303455National Natural Science Foundation of China (National Science Foundation of China) 62373039National Natural Science Foundation of China (National Science Foundation of China) U23B2038National Natural Science Foundation of China (National Science Foundation of China) U24A20282
6 · The paper itself

Abstract

Tactile endoscopes can provide physicians with rich sensory information, enabling fast and accurate medical diagnoses. However, existing tactile endoscopy sensors do not consider temperature perception, which is a very important diagnostic indicator in medicine. Here, we report for the first time a tellurium-based superelastic thermoelectric visual-tactile sensor. This platform achieves a breakthrough by combining tellurium thermocouples designed based on crystal structures with viscoelastic silicone encapsulation, enabling simultaneous microscale visual, thermal, and force measurements in a single device. By employing a morphologically optimized tellurium-polymer heterointerface and advanced deep neural network algorithms, we address the inherent trade-off between transparency and responsiveness, achieving artifact-free imaging, real-time thermal mapping, and microstructure force feedback. We conduct clinical endoscopic palpation experiments on live rabbits and successfully achieve tactile diagnosis of inflamed tissue including temperature distribution, especially in cases where visual distinction is difficult, pointing out possible development directions for intelligent endoscopy systems.

Indexed as

EndoscopyTelluriumAnimalsElasticityEquipment DesignRabbitsTemperatureTellurium

Identifiers

PMID41530175
PMCPMC12905337

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.