title: Multivariate Chemical Image Fusion of Vibrational Spectroscopic Imaging Modalities.
abstract: 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.
authors.affiliation: UCD School of Biosystems and Food Engineering, College of Engineering and Architecture, University College Dublin, Belfield, Dublin 4, Ireland. aoife.gowen@ucd.ie.
authors.forename: Aoife A
authors.initials: AA
authors.lastname: Gowen
authors.affiliation: UCD School of Biosystems and Food Engineering, College of Engineering and Architecture, University College Dublin, Belfield, Dublin 4, Ireland. ronan.dorrepaal@ucdconnect.ie.
authors.forename: Ronan M
authors.initials: RM
authors.lastname: Dorrepaal
mesh_terms: D008958:Models, Molecular; D021281:Quantitative Structure-Activity Relationship; D013057:Spectrum Analysis / Q000379:methods*
keywords: chemometrics; data; fusion; hyperspectral; imaging; multivariate; spectroscopic; vibration