Opt Lett. 2020 Dec 15;45(24):6583-6586. doi: 10.1364/OL.410762.
Hyperspectral imaging provides spatially resolved spectral information. Utilizing 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. 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, achieving 10 Hz acquisition in 30 spectral channels across 16,384 pixels. Artificial intelligence (AI) enables real-time data reduction and imaging of gas concentration based on characteristic molecular absorption signatures. Owing to the detector array's sensitivity from 1 to 5 µm wavelength, this demonstration lays the foundation for real-time versatile imaging of molecular fingerprint signatures across the infrared wavelength regime with high temporal resolution.
高光谱成像是一种提供空间分辨光谱信息的技术。利用双频梳作为主动照明源，当使用探测器阵列进行外差探测时，可以实现超高速谱分辨率的无扫描高光谱成像。在这里，我们展示了通过利用探测器阵列的高帧率，可以在近中红外的非制冷探测器上实现双梳高光谱成像，在 16384 个像素的 30 个光谱通道中实现 10 Hz 的采集速度。人工智能（AI）可以根据分子特征吸收特征实现实时数据减少和气体浓度成像。由于探测器阵列在 1 到 5 µm 波长范围内的灵敏度，该演示为在红外波长范围内实现高时间分辨率的分子指纹特征的实时多功能成像奠定了基础。
