Share Email Print
cover

Optical Engineering

Development of a rapid method for the automatic classification of biological agents' fluorescence spectral signatures
Author(s): Mariachiara Carestia; Roberto Pizzoferrato; Michela Gelfusa; Orlando Cenciarelli; Gian Marco Ludovici; Jessica Gabriele; Andrea Malizia; Andrea Murari; Jesus Vega; Pasqualino Gaudio
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Biosecurity and biosafety are key concerns of modern society. Although nanomaterials are improving the capacities of point detectors, standoff detection still appears to be an open issue. Laser-induced fluorescence of biological agents (BAs) has proved to be one of the most promising optical techniques to achieve early standoff detection, but its strengths and weaknesses are still to be fully investigated. In particular, different BAs tend to have similar fluorescence spectra due to the ubiquity of biological endogenous fluorophores producing a signal in the UV range, making data analysis extremely challenging. The Universal Multi Event Locator (UMEL), a general method based on support vector regression, is commonly used to identify characteristic structures in arrays of data. In the first part of this work, we investigate fluorescence emission spectra of different simulants of BAs and apply UMEL for their automatic classification. In the second part of this work, we elaborate a strategy for the application of UMEL to the discrimination of different BAs’ simulants spectra. Through this strategy, it has been possible to discriminate between these BAs’ simulants despite the high similarity of their fluorescence spectra. These preliminary results support the use of SVR methods to classify BAs’ spectral signatures.

Paper Details

Date Published: 24 November 2015
PDF: 8 pages
Opt. Eng. 54(11) 114105 doi: 10.1117/1.OE.54.11.114105
Published in: Optical Engineering Volume 54, Issue 11
Show Author Affiliations
Mariachiara Carestia, Univ. degli Studi di Roma "Tor Vergata" (Italy)
Roberto Pizzoferrato, Univ. degli Studi di Roma "Tor Vergata" (Italy)
Michela Gelfusa, Univ. degli Studi di Roma "Tor Vergata" (Italy)
Orlando Cenciarelli, Univ. degli Studi di Roma "Tor Vergata" (Italy)
Gian Marco Ludovici, Univ. degli Studi di Roma "Tor Vergata" (Italy)
Jessica Gabriele, Univ. degli Studi di Roma "Tor Vergata" (Italy)
Andrea Malizia, Univ. degli Studi di Roma "Tor Vergata" (Italy)
Andrea Murari, Univ. degli Studi di Padova (Italy)
Jesus Vega, Ctr. de Investigaciones Energéticas, Medioambientales y Tecnológicas (Spain)
Pasqualino Gaudio, Univ. degli Studi di Roma "Tor Vergata" (Italy)


© SPIE. Terms of Use
Back to Top