Rapid identification of heterogeneous mixture components with hyperspectral coherent anti-Stokes Raman scattering imaging
Rapid identification of heterogeneous mixture components with hyperspectral coherent anti-Stokes Raman scattering imaging
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DOI：
10.1002/jrs.4064
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发表时间：
2012-05-01
影响因子：
2.5
通讯作者：
Offerhaus, Herman L.
中科院分区：
文献类型：
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作者：
Garbacik, Erik T.;Herek, Jennifer L.;Offerhaus, Herman L.
为了快速分析复杂的异质混合物，我们开发了一种获取并直观显示高光谱相干反斯托克斯拉曼散射（CARS）图像的方法。使用基于光学参量振荡器的传统光学装置进行成像。根据振动频率对所得高光谱数据立方体的每一帧进行颜色编码会产生二维投影，其中每种化合物都呈现出独特的色调。我们通过记录由七个结晶氨基酸组成的异质混合物的高光谱 CARS 数据堆栈，然后通过对彩色投影的直接视觉分析来识别每个氨基酸，从而展示了该系统的功能。版权所有 (c) 2012 John Wiley & Sons, Ltd.
For the rapid analysis of complicated heterogeneous mixtures, we have developed a method to acquire and intuitively display hyperspectral coherent anti-Stokes Raman scattering (CARS) images. The imaging is performed with a conventional optical setup based around an optical parametric oscillator. Color coding each frame of the resulting hyperspectral data cube according to vibrational frequency results in a two-dimensional projection wherein each compound appears with a unique hue. We demonstrate the capabilities of this system by recording a hyperspectral CARS data stack of a heterogeneous mixture composed of seven crystalline amino acids and subsequently identifying each of them by direct visual analysis of the colored projection. Copyright (c) 2012 John Wiley & Sons, Ltd.