Superelastic Tellurium Thermoelectric Coatings for Advanced Trimodal Microsensing

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.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-01-13
DOI
https://doi.org/10.1038/s41467-026-68317-3
Citations
1
Primary Topic
Advanced Thermoelectric Materials and Devices
Type
article
Field-Weighted Citation Impact
16.08

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Superelastic Tellurium Thermoelectric Coatings for Advanced Trimodal Microsensing

Site Li, Mingxue Cai, S. -G. Wang, Shaowei Cui et al.
1 citations
Nature Communications
Advanced Thermoelectric Materials and Devices
16.08
article

Superelastic Tellurium Thermoelectric Coatings for Advanced Trimodal Microsensing

Site Li, Mingxue Cai, S. -G. Wang, Shaowei Cui, T. S. Zhang, C. Zhang, Zheng Lou, Linlin Wang, Lei Cheng, Zixin Huang, Wen Gong, Wenxuan Zhang, Yu Wang, Xiangyin Bao, Yanzhe Yu, Chao-Feng Wu
article en
1 citations

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.

Nature CommunicationsVol. 17(1)
Chinese Academy of Sciences (CN), Shandong Institute of Automation (CN), Institute of Automation (CN), Shenzhen Institutes of Advanced Technology (CN), Institute of Semiconductors (CN), Advanced Ceramics Manufacturing (United States) (US), Wuhan Institute of Technology (CN), Tsinghua University (CN)
National Natural Science Foundation of China, National Postdoctoral Program for Innovative Talents, National Key Research and Development Program of China
Openalex Percentile: Top 3%
Advanced Thermoelectric Materials and Devices
16.08
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.