Thompson Jonathan V, Bixler Joel N, Hokr Brett H, Noojin Gary D, Scully Marlan O, Yakovlev Vladislav V
Opt Lett. 2017 Jun 1;42(11):2169-2172. doi: 10.1364/OL.42.002169.
Raman imaging is a powerful method to identify and detect chemicals, but the long acquisition time required for full spectroscopic Raman images limits many practical applications. Compressive sensing and compressed ultrafast photography have recently demonstrated the acquisition of multi-dimensional data sets with single-shot detection. In this Letter, we demonstrate the utilization of compressed sensing for single-shot compressed Raman imaging. In particular, we use this technique to demonstrate the identification of two similarly white substances in one image via the recovered two-dimensional array of Raman spectra. This technique can be further extended by coupling the compressed sensing apparatus with a microscope for compressed hyperspectral imaging microscopy.
拉曼成像技术是一种识别和检测化学物质的强大方法，但完整光谱拉曼图像所需的长时间采集限制了其许多实际应用。压缩感知和压缩超快摄影技术最近已证明可通过单次检测获取多维数据集。在本信函中，我们展示了压缩感知在单次压缩拉曼成像中的应用。特别是，我们利用该技术通过恢复的二维拉曼光谱阵列在一张图像中识别两种类似的白色物质。通过将压缩感知设备与显微镜耦合用于压缩高光谱成像显微镜，该技术可得到进一步扩展。
