近日，厦门大学陈锦辉团队研究了红外复幅成像的上转换光熵编码。相关论文于2026年3月9日发表在《光：科学与应用》杂志上。

利用低成本硅基光电探测器在可见光波段实现红外辐射上转换探测，已引发红外成像技术的革命，并在生物成像、光谱学及光数据存储领域催生了广泛应用。尽管上转换探测研究已取得显著进展，但实现相位与振幅信息同步获取的实时复振幅成像——这对揭示红外场景全貌至关重要——仍面临严峻挑战，制约着其推广应用。本研究通过融合相干与非相干方法的独特优势，提出上转换光学熵编码概念，并成功演示了视频帧速率红外复振幅成像系统。

该方案利用无序光子结构中的光散射与镧系上转换发光的协同效应，通过调控上转换散斑的信息熵，可在单次可见光快照中捕获红外光场信息，并借助深度学习网络实现高保真重建，最终达成25帧/秒视频速率、8比特灰度调制的红外复振幅成像。所研制的红外成像系统具有高光敏特性，探测灵敏度达0.2纳瓦/平方微米，较传统参量上转换成像提升三个数量级。作为概念验证，研究组展示了其在自然场景视频捕获及自动驾驶限速标志图像分类中的应用。该技术可便捷地与其他跨波段成像方法集成，为需要视频速率、高光敏性与高保真度的各类红外应用场景开辟了新途径。

附：英文原文

Title: Upconversion optical entropy encoding for infrared complex-amplitude imaging

Author: Zhu, Sheng-ke, Pan, Tuqiang, Tang, Chao-xian, Li, Ai-Hua, Zheng, Ze-huan, Xu, Yi, Li, Xiangping, Chen, Jin-hui

Issue&Volume: 2026-03-09

Abstract: Upconversion detection of infrared radiation by cost-effective silicon photodetectors in visible bands has spurred a revolution in infrared imaging technology, unlocking a wide range of applications in biological imaging, optical spectroscopy, and optical data storage. Despite significant progress in upconversion detection, real-time, concurrent, complex-amplitude imaging of both phase and amplitude information, indispensable for disclosing the full signature of infrared scenes, remains a daunting challenge, impeding their widespread applications. By integrating the unique advantages of both coherent and incoherent approaches, we propose the concept of upconversion optical entropy encoding and demonstrate a video-rate infrared complex-amplitude imaging system. This is achieved by leveraging the synergistic interaction between light scattering in disordered photonic structures and lanthanide upconversion photoluminescence. By tailoring the information entropy of upconversion speckles, infrared light-field information can be captured in a single visible snapshot and explicitly reconstructed, assisted by a deep learning network, enabling infrared complex-amplitude imaging at a video rate of 25 frames per second (fps) and with high-fidelity 8-bit grayscale modulation. The high photosensitivity of the developed infrared imaging system enables a power detection limit of 0.2 nW μm2, three orders of magnitude lower than that of conventional parametric upconversion imaging. As a proof of concept, we demonstrate its applications in capturing video frames of natural scene images and classifying images of speed-limit signs for autonomous driving. This approach can be readily integrated with other cross-band imaging methods, paving the way for various infrared application scenarios that require video-rate, high-photosensitivity, and high-fidelity protocols.

DOI: 10.1038/s41377-026-02215-7

Source: https://www.nature.com/articles/s41377-026-02215-7