Multivariate Hyperspectral Raman Imaging Using Compressive Detection
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- 作者：Brandon M. Davis ; Amanda J. Hemphill ; Derya Cebeci Maltas抬 ; Michael A. Zipper ; Ping Wang ; Dor Ben-Amotz
- 刊名：Analytical Chemistry
- 出版年：2011
- 出版时间：July 1, 2011
- 年：2011
- 卷：83
- 期：13
- 页码：5086-5092
- 全文大小：866K
- 年卷期：v.83,no.13(July 1, 2011)
- ISSN：1520-6882
文摘
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.