Gram-Schmidt orthogonalization for rapid reconstructions of Fourier transform infrared spectroscopic imaging data

Rohit Bhargava, Ira W. Levin

Research output: Contribution to journalArticle

Abstract

Increasingly voluminous Fourier transform infrared (FT-IR) spectroscopic imaging data sets are being generated with the advent of both faster array detectors and the implementation of time-resolved imaging techniques, resulting in data processing becoming the limiting step in visualizing sample heterogeneity and temporal profile evolution. We report the application of a Gram-Schmidt vector orthogonalization procedure in interferogram space to provide a significant time saving advantage in processing of one to two orders of magnitude in comparison to conventional spectral processing. Illustrative data from human skin biopsies and from dynamic molecular reorganizations within liquid crystalline microdomains is employed to discuss the capabilities and limitations of this information-extraction approach.

Original languageEnglish (US)
Pages (from-to)995-1000
Number of pages6
JournalApplied Spectroscopy
Volume58
Issue number8
DOIs
StatePublished - Aug 1 2004
Externally publishedYes

ASJC Scopus subject areas

  • Instrumentation
  • Spectroscopy

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