双光梳实时分子指纹成像
Dual-Comb Real-Time Molecular Fingerprint Imaging
AI总结：
本文提出利用非制冷近至中红外探测器阵列的高帧率与双光梳的高互相干性，实现无扫描双光梳高光谱成像，并结合人工智能实现实时数据压缩与图像重建，为红外分子指纹实时成像奠定基础。
摘要：
高光谱成像提供空间分辨的光谱信息。利用双频率梳作为主动照明源，当使用探测器阵列进行外差探测时，可以以无扫描方式实现具有超高光谱分辨率的高光谱成像。然而，由于依赖低噪声探测器阵列，该方法目前仅限于近红外波段。在此，我们展示通过利用探测器阵列的高帧率和光梳的高互相干性，可以用非制冷近至中红外探测器实现双光梳高光谱成像。该系统同时在16384个像素上获取30个光谱通道的高光谱数据，从中可以推导出分子特异性气体浓度图像。人工智能实现了快速数据压缩和实时图像重建。由于探测器阵列在1微米至5微米波长范围内具有灵敏度，该演示为在红外波长范围内实时进行分子指纹特征的多功能成像奠定了基础。
英文摘要：
Hyperspectral imaging provides spatially resolved spectral information. Utilising dual frequency combs as active illumination sources, hyperspectral imaging with ultra-high spectral resolution can be implemented in a scan-free manner when a detector array is used for heterodyne detection. However, relying on low-noise detector arrays, this approach is currently limited to the near-infrared regime. Here, we show that dual-comb hyperspectral imaging can be performed with an uncooled near-to-mid-infrared detector by exploiting the detector array's high frame-rate and the combs' high-mutual coherence. The system simultaneously acquires hyperspectral data in 30~spectral channels across 16'384 pixel, from which molecule-specific gas concentration images can be derived. Artificial intelligence enables rapid data reduction and real-time image reconstruction. Owing to the detector array's sensitivity from 1~$μ$m to 5~$μ$m wavelength, this demonstration lays the foundation for versatile imaging of molecular fingerprint signatures across the infrared wavelength-regime in real-time.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
