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Mimicking Multimodal Contrast with Vertex Component Analysis of Hyperspectral CARS Images
Joint Authors
Tabarangao, Joel T.
Slepkov, Aaron D.
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-22
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Tabarangao, Joel T.& Slepkov, Aaron D.. 2015. Mimicking Multimodal Contrast with Vertex Component Analysis of Hyperspectral CARS Images. Journal of Spectroscopy،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1070313
Modern Language Association (MLA)
Tabarangao, Joel T.& Slepkov, Aaron D.. Mimicking Multimodal Contrast with Vertex Component Analysis of Hyperspectral CARS Images. Journal of Spectroscopy No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1070313
American Medical Association (AMA)
Tabarangao, Joel T.& Slepkov, Aaron D.. Mimicking Multimodal Contrast with Vertex Component Analysis of Hyperspectral CARS Images. Journal of Spectroscopy. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1070313
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070313