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Journal of Spectroscopy
Volume 2015, Article ID 575807, 8 pages
Research Article

Mimicking Multimodal Contrast with Vertex Component Analysis of Hyperspectral CARS Images

Department of Physics & Astronomy, Trent University, Peterborough, ON, Canada K9J 7B8

Received 9 December 2014; Accepted 30 January 2015

Academic Editor: Jose S. Camara

Copyright © 2015 Joel T. Tabarangao and Aaron D. Slepkov. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We show the applicability of vertex component analysis (VCA) of hyperspectral CARS images in generating a similar contrast profile to that obtained in “multimodal imaging” that uses signals from three separate nonlinear optical techniques. Using an atherosclerotic rabbit aorta test image, we show that the VCA algorithm provides pseudocolor contrast that is comparable to multimodal imaging, thus suggesting that under certain conditions much of the information gleaned from a multimodal nonlinear optical approach can be sufficiently extracted from the CARS hyperspectral stack itself. This is useful for unsupervised contrast generation on hyperspectral CARS implementations such as multiplex CARS that may not have multimodal capabilities. The utility of VCA as a quantitative analysis tool in CARS is also addressed.