<title>Advances in infrared microspectroscopic imaging</title>

Abstract

This paper reports on the application of an interferogram-based data reduction routine to infrared microspectroscopic imaging. The Gram-Schmidt (GS) orthogonalization procedure, popularized in application to GC-IR data, was used to measure the infrared response across the surface of the samples. A set of interferogram segments is selected to form an orthonormalized basis set describing background conditions. Basis information is subtracted from the interferograms collected at each sampling location resulting in a vector containing information distinct from the basis. The magnitude of the sample vector is the GS response, a measure of difference from the basis.