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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 46, Iss. 24 — Aug. 20, 2007
  • pp: 6192–6195

Modeling biological fluorescence emission spectra using Lorentz line shapes and nonlinear optimization

Paul D. Nation, A. Q. Howard, and Lincoln J. Webb  »View Author Affiliations


Applied Optics, Vol. 46, Issue 24, pp. 6192-6195 (2007)
http://dx.doi.org/10.1364/AO.46.006192


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Abstract

Using the Levenberg–Marquardt nonlinear optimization algorithm and a series of Lorentzian line shapes, the fluorescence emission spectra from BG (Bacillus globigii) bacteria can be accurately modeled. This method allows data from both laboratory and field sources to model the return signal from biological aerosols using a typical LIF (lidar induced fluorescence) system. The variables found through this procedure match individual fluorescence components within the biological material and therefore have a physically meaningful interpretation. The use of this method also removes the need to calculate phase angles needed in autoregressive all-pole models.

© 2007 Optical Society of America

OCIS Codes
(070.6020) Fourier optics and signal processing : Continuous optical signal processing
(190.1900) Nonlinear optics : Diagnostic applications of nonlinear optics
(260.2510) Physical optics : Fluorescence
(280.3640) Remote sensing and sensors : Lidar
(300.2530) Spectroscopy : Fluorescence, laser-induced

ToC Category:
Spectroscopy

History
Original Manuscript: September 29, 2006
Revised Manuscript: June 6, 2007
Manuscript Accepted: June 15, 2007
Published: August 20, 2007

Virtual Issues
Vol. 2, Iss. 9 Virtual Journal for Biomedical Optics

Citation
Paul D. Nation, A. Q. Howard, and Lincoln J. Webb, "Modeling biological fluorescence emission spectra using Lorentz line shapes and nonlinear optimization," Appl. Opt. 46, 6192-6195 (2007)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-46-24-6192


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References

  1. R. M. Measures, Laser Remote Sensing: Fundamentals and Applications (Krieger, 1984).
  2. D. M. Bates and D. G. Watts, Nonlinear Regression and Its Applications (Wiley, 1988). [CrossRef]
  3. H. B. Nielsen, "Immoptibox: A Matlab Toolbox for Optimization and Data Fitting," retrieved 09 May 2005, www2.imm.dtu.dk/hbn/immoptibox.
  4. K. K. Ong and S. D. Christesen, "Biological fluorescence database," in Proceedings of The Fifth Joint Conference on Standoff Detection for Chemical and Biological Defense (U.S. Army, 2001). [PubMed]
  5. J. A. Huwaldt, "Plotdigitizer," retrieved 28 December 2004, http://plotdigitizer.sourceforge.net.
  6. J. R. Lakowicz, Principles of Fluorescence Spectroscopy (Plenum, 1999).

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