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Proceedings Paper

Deconvolution of fluorescence decays and estimation errors
Author(s): Zhiyi Zhang; Tong Sun; Kenneth T. V. Grattan; Andrew W. Palmer
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Paper Abstract

The non-iterative Prony's method is discussed for the deconvolution of multi-exponential fluorescence decays. The performance of these algorithms in the case of a two- exponential decay process is evaluated, using a Monte-Carlo simulation, in terms of the estimation errors caused by the signal noise. The results which are presented show that the performance of Prony's method can be greatly improved with the selection of an optimized observation window width and a few algorithm-related parameters. Comparison between Prony's method and the Marquardt least-squared-error algorithm is also made, showing the performance of the former is close to that of the latter with a 98% reduction in calculation running time. The applications of Prony's algorithms in real-time, quasi-distributed temperature sensor systems are discussed and the experimental results are presented to justify the use of the algorithms in Prony's method in practical double exponential fluorescence decay analysis.

Paper Details

Date Published: 7 May 1997
PDF: 6 pages
Proc. SPIE 2980, Advances in Fluorescence Sensing Technology III, (7 May 1997); doi: 10.1117/12.273508
Show Author Affiliations
Zhiyi Zhang, City Univ. (United Kingdom)
Tong Sun, City Univ. (United Kingdom)
Kenneth T. V. Grattan, City Univ. (United Kingdom)
Andrew W. Palmer, City Univ. (United Kingdom)


Published in SPIE Proceedings Vol. 2980:
Advances in Fluorescence Sensing Technology III
Richard B. Thompson, Editor(s)

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