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Evaluation of a Fourier-Transform-Based Pattern-Recognition Algorithm for Two-Dimensional Fluorescence Data

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Abstract:

A pattern-recognition algorithm for two-dimensional fluorescence data previously reported is critically evaluated. The three spectral matching criteria—sum of the absolute value of the imaginary coefficients of the frequency-domain correlation function, sum of the absolute value of the real-negative coefficients of the frequency-domain correlation function, and the intervector distance between the abbreviated Fourier transforms of two spectra—are calculated. Spectra simulated with a computer as well as data acquired with a video fluorometer are examined. Results indicate that all three parameters are sensitive to changes in peak position, peak width, relative peak height, and intensity of background noises.

Keywords: Analytical methods; Fluorescence; Luminescence; Spectroscopic techniques; Time-resolved spectroscopy

Document Type: Research Article

DOI: http://dx.doi.org/10.1366/0003702874448904

Affiliations: Department of Chemistry, Emory University, Atlanta, Georgia 30322

Publication date: March 1, 1987

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