Ultrarobust and Precise Luminescence Thermometry Enabled by the Combination of Reassembled Emission Spectra With Denoising Neural Network (Laser Photonics Rev. 19(10)/2025)

Enhancing Thermal Sensing in Biological Environments In article number 2401956, Wei Xu and co‐workers present a new luminescence thermometry approach based on reassembled emission spectra (RaES), designed for robust thermal sensing in biological environments. This technique takes full advantage of the spectral features of multiple luminescent centers, enabling the creation of a distinct thermometric parameter. Additionally, the authors have developed and integrated a deep‐learning‐based denoising model into the RaES method, ensuring precise and reliable temperature measurements even under challenging conditions.