Nonparametric Analysis of Time-Resolved Fluorescence Data Based on the Laguerre Expansion Technique

J. A. Jo, Q. Fang, T. Papaioannou, Laura Marcu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

To estimate the intrinsic fluorescence intensity decay of a compound, the excitation light pulse must be deconvolved from the measured fluorescence pulse trace. The most commonly used deconvolution method is the multiexponential least-square iterative reconvolution (LSIR) technique. A variant of LSIR in which the intrinsic fluorescence intensity decay is expressed as an expansion on the discrete time Laguerre basis, was recently introduced. In this study, the performance of the Laguerre deconvolution technique was successfully tested with simulated and fluorescence standard data. It was also demonstrated that the Laguerre deconvolution presents a number of advantages over the classical multiexponential LSIR, including less expensive computational resolution, and the property to generate a unique set of expansion coefficients highly correlated with the intrinsic lifetimes. A novel method for concentration estimation based on the analysis of the Laguerre expansion coefficients was also proposed and successfully applied to different fluorescence standard mixtures, performing even better (error<2%) than more traditional methods of spectral analysis, such as PCR (error<7%) and PLS (error<10%). These findings suggest that the use of Laguerre expansion coefficients represents an alternative nonparametric approach to characterize and discriminate biological systems, in terms of their spectral and lifetime characteristics.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
EditorsR.S. Leder
Pages1015-1018
Number of pages4
Volume2
StatePublished - 2003
EventA New Beginning for Human Health: Proceddings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: Sep 17 2003Sep 21 2003

Other

OtherA New Beginning for Human Health: Proceddings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CountryMexico
CityCancun
Period9/17/039/21/03

Fingerprint

Fluorescence
Deconvolution
Biological systems
Spectrum analysis

Keywords

  • Laguerre expansion technique
  • Time-resolved fluorescence spectroscopy

ASJC Scopus subject areas

  • Bioengineering

Cite this

Jo, J. A., Fang, Q., Papaioannou, T., & Marcu, L. (2003). Nonparametric Analysis of Time-Resolved Fluorescence Data Based on the Laguerre Expansion Technique. In R. S. Leder (Ed.), Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 2, pp. 1015-1018)

Nonparametric Analysis of Time-Resolved Fluorescence Data Based on the Laguerre Expansion Technique. / Jo, J. A.; Fang, Q.; Papaioannou, T.; Marcu, Laura.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. ed. / R.S. Leder. Vol. 2 2003. p. 1015-1018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jo, JA, Fang, Q, Papaioannou, T & Marcu, L 2003, Nonparametric Analysis of Time-Resolved Fluorescence Data Based on the Laguerre Expansion Technique. in RS Leder (ed.), Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. vol. 2, pp. 1015-1018, A New Beginning for Human Health: Proceddings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Cancun, Mexico, 9/17/03.
Jo JA, Fang Q, Papaioannou T, Marcu L. Nonparametric Analysis of Time-Resolved Fluorescence Data Based on the Laguerre Expansion Technique. In Leder RS, editor, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. Vol. 2. 2003. p. 1015-1018
Jo, J. A. ; Fang, Q. ; Papaioannou, T. ; Marcu, Laura. / Nonparametric Analysis of Time-Resolved Fluorescence Data Based on the Laguerre Expansion Technique. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. editor / R.S. Leder. Vol. 2 2003. pp. 1015-1018
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