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Single-shot chemical detection and identification with compressed hyperspectral Raman imaging

机译:用压缩高光谱拉曼成像进行单次化学检测和识别

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摘要

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 multidimensional 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. (C) 2017 Optical Society of America
机译:拉曼成像是一种识别和检测化学品的强大方法,但是全光谱拉曼图像所需的长采集时间限制了许多实际应用。 压缩传感和压缩超速摄影最近展示了采集具有单次检测的多维数据集。 在这封信中,我们证明了对单射压缩拉曼成像的压缩感测的利用。 特别是,我们使用该技术通过RACAN光谱的恢复的二维阵列证明一个图像中的两个类似白物质的识别。 通过将压缩的传感装置与显微镜耦合以进行压缩的高光谱成像显微镜,可以进一步延伸该技术。 (c)2017年光学学会

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