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

Paul Nation, A. Q. Howard, Lincoln J. Webb

Research output: Contribution to journalArticle

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)6192-6195
Number of pages4
JournalApplied Optics
Volume46
Issue number24
DOIs
Publication statusPublished - 2007 Aug 20
Externally publishedYes

Fingerprint

line shape
emission spectra
fluorescence
optimization
Bacillus
optical radar
bacteria
aerosols
phase shift
poles

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Cite this

Modeling biological fluorescence emission spectra using Lorentz line shapes and nonlinear optimization. / Nation, Paul; Howard, A. Q.; Webb, Lincoln J.

In: Applied Optics, Vol. 46, No. 24, 20.08.2007, p. 6192-6195.

Research output: Contribution to journalArticle

@article{12e99ce43e3b437aa61e897da1bd3476,
title = "Modeling biological fluorescence emission spectra using Lorentz line shapes and nonlinear optimization",
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.",
author = "Paul Nation and Howard, {A. Q.} and Webb, {Lincoln J.}",
year = "2007",
month = "8",
day = "20",
doi = "10.1364/AO.46.006192",
language = "English",
volume = "46",
pages = "6192--6195",
journal = "Applied Optics",
issn = "1559-128X",
publisher = "The Optical Society",
number = "24",

}

TY - JOUR

T1 - Modeling biological fluorescence emission spectra using Lorentz line shapes and nonlinear optimization

AU - Nation, Paul

AU - Howard, A. Q.

AU - Webb, Lincoln J.

PY - 2007/8/20

Y1 - 2007/8/20

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=36749013010&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=36749013010&partnerID=8YFLogxK

U2 - 10.1364/AO.46.006192

DO - 10.1364/AO.46.006192

M3 - Article

C2 - 17712385

AN - SCOPUS:36749013010

VL - 46

SP - 6192

EP - 6195

JO - Applied Optics

JF - Applied Optics

SN - 1559-128X

IS - 24

ER -