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

Modeling biological fluorescence emission spectra using Lorentz line shapes and nonlinear optimization. Research Abstract Details 

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Modeling biological fluorescence emission spectra using Lorentz line shapes and nonlinear optimization. Abstract Text:

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

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.

Modeling biological fluorescence emission spectra using Lorentz line shapes and nonlinear optimization. Publishing Authors By Initials

PD Nation,AQ Howard,LJ Webb,PD Nation,AQ Howard,LJ Webb,

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Modeling biological fluorescence emission spectra using Lorentz line shapes and nonlinear optimization. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Applied optics

VOLUME: 46

Page Numbers: 6192-5

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ISSN: 0003-6935

DAY: 20

MONTH: Aug

YEAR: 2007

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

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LANGUAGE: eng

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Grant and Affiliation Information for Modeling biological fluorescence emission spectra using Lorentz line shapes and nonlinear optimization.

AFFILIATION: Dugway Proving Ground Office, Physics Department, Utah State University, Logan, Utah 84322-4415, USA.

Country: United States

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MEDLINETA: Appl Opt

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