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Molecules 2016, 21(7), 870;

Multivariate Chemical Image Fusion of Vibrational Spectroscopic Imaging Modalities

UCD School of Biosystems and Food Engineering, College of Engineering and Architecture, University College Dublin, Belfield, Dublin 4, Ireland
Author to whom correspondence should be addressed.
Academic Editor: Christian Huck
Received: 13 April 2016 / Revised: 14 June 2016 / Accepted: 28 June 2016 / Published: 2 July 2016
(This article belongs to the Special Issue Vibrational Spectroscopic Imaging and Mapping)
Full-Text   |   PDF [6153 KB, uploaded 2 July 2016]   |  


Chemical image fusion refers to the combination of chemical images from different modalities for improved characterisation of a sample. Challenges associated with existing approaches include: difficulties with imaging the same sample area or having identical pixels across microscopic modalities, lack of prior knowledge of sample composition and lack of knowledge regarding correlation between modalities for a given sample. In addition, the multivariate structure of chemical images is often overlooked when fusion is carried out. We address these challenges by proposing a framework for multivariate chemical image fusion of vibrational spectroscopic imaging modalities, demonstrating the approach for image registration, fusion and resolution enhancement of chemical images obtained with IR and Raman microscopy. View Full-Text
Keywords: hyperspectral; data; fusion; vibration; spectroscopic; imaging; multivariate; chemometrics hyperspectral; data; fusion; vibration; spectroscopic; imaging; multivariate; chemometrics

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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 (CC BY 4.0).

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Gowen, A.A.; Dorrepaal, R.M. Multivariate Chemical Image Fusion of Vibrational Spectroscopic Imaging Modalities. Molecules 2016, 21, 870.

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