Related Experiment Video
Updated: May 5, 2026

09:01
High-resolution Thermal Micro-imaging Using Europium Chelate Luminescent Coatings
Published on: April 16, 2017
8.1K
Dispersive Meta-lens Thermometry for High-temperature Measurements
Yulun He1, Mu Ku Chen2,3, Mingrui Huang1
1School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China.
Nature Communications
|November 18, 2025
Summary
A new Dispersive Meta-lens Thermometry (DMT) uses advanced meta-lenses for accurate high-temperature measurements. This miniaturized hyperspectral approach significantly reduces errors in thermal energy transfer monitoring.
Area of Science:
- Physics
- Optical Engineering
- Materials Science
Background:
- Accurate temperature measurement is vital for energy transfer efficiency and safety.
- Traditional radiation thermometry for high temperatures often relies on bulky optical components.
- Meta-lenses offer a path to miniaturized, integrated thermal sensing solutions.
Purpose of the Study:
- To propose and demonstrate a Dispersive Meta-lens Thermometry (DMT) system for high-temperature measurements.
- To leverage meta-lens technology for miniaturized and hyperspectral thermal sensing.
- To improve the accuracy and efficiency of non-invasive temperature measurement.
Main Methods:
- Utilizing a dispersive meta-lens to encode hyperspectral information into a compressed image.
- Employing convex spectral compress sensing for data deciphering.
- Developing a deep reverse dispersive network for advanced signal processing.
Main Results:
- Achieved a 6-fold reduction in measurement error (<0.32%) compared to multi-spectral light-field thermometry.
- Maintained measurement errors below 1.5% for flame impingement scenarios.
- Demonstrated the potential for miniaturized hyperspectral high-temperature thermometry.
Conclusions:
- The proposed DMT system offers a significant advancement in high-temperature measurement accuracy and miniaturization.
- Meta-lens technology integrated with advanced signal processing shows great promise for future thermometry applications.
- Further integration is needed, but the potential for compact hyperspectral thermal sensors is clearly established.

