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基于压缩检测的多元高光谱拉曼成像

Multivariate hyperspectral Raman imaging using compressive detection.

机构信息

Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, USA.

出版信息

Anal Chem. 2011 Jul 1;83(13):5086-92. doi: 10.1021/ac103259v. Epub 2011 Jun 3.

DOI:10.1021/ac103259v
PMID:21604741
Abstract

A multivariate hyperspectral imaging (MHI) instrument has been designed and constructed to achieve greatly increased Raman imaging speeds by utilizing a compressive spectral detection strategy. The instrument may be viewed as a generalized spectrometer, which can function either as a conventional monochromator or in a wide variety of other hyperspectral modalities. The MHI utilizes a spatial light modulator (SLM) to produce programmable optical filters to rapidly detect and map particular sample components. A sequence of Hadamard-transform or random filter functions may be used to regenerate full Raman spectra. Compressive detection is achieved either using multivariate signal processing filter functions or the actual component spectra. Compressive detection is shown to be capable of achieving sampling speeds exceeding 1 ms per image pixel and the collection of chemical images in less than a minute.

摘要

一种多变量高光谱成像(MHI)仪器已经设计和构建,通过利用压缩光谱检测策略实现大大提高拉曼成像速度。该仪器可以看作是一种广义的光谱仪,可以作为传统的单色仪或在各种其他高光谱模式下工作。MHI 利用空间光调制器(SLM)产生可编程光学滤波器,以快速检测和绘制特定样品成分。可以使用一系列 Hadamard 变换或随机滤波器函数来重新生成完整的拉曼光谱。压缩检测可以使用多元信号处理滤波器函数或实际的分量光谱来实现。压缩检测能够实现超过 1 毫秒/图像像素的采样速度,并在不到一分钟的时间内采集化学图像。

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