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Stand-off detection of biological hazards on common surfaces by laser-induced fluorescence (LIF): Improved localization and classification routines

Grzesiak, Jonas and Kraus, Marian and Fellner, Lea and Walter, Arne and Duschek, Frank (2023) Stand-off detection of biological hazards on common surfaces by laser-induced fluorescence (LIF): Improved localization and classification routines. Third Edition of the Scientific International Conference on CBRNe - SICC Series 2023, 2023-09-25 - 2023-09-29, Rom, Italien. ISBN 9788894982756.

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Official URL: https://doi.org/10.57620/SICC-SERIES_CBRNE-CONFERENCE_2023

Abstract

Detecting hot-spots of potential biological hazards rapidly is desired during a CBRNe event in order to optimize the sample collection for identification of the potentially hazardous materials. The detection is ideally done from distance to avoid direct human contact. Spectrally and time-resolved laser-induced fluorescence (LIF) with multiple excitation wavelengths is a powerful method for such a biological stand-off challenge. On a path towards small scale, transportable systems for in situ detection, we developed a compact and transportable LIF-based technology demonstrating system. With this system we design, use and evaluate surface-scanning techniques for applied studies on mapping biologically contaminated surfaces. The apparatus returns a highly resolved map of target surfaces, that shows areas of contamination. To this end we use simultaneously acquired spectral and time resolved fluorescence responses from dual wavelength excitation. The recognition is based on machine-learning algorithms and can be used for detection at distances from 3 to 10 m. In our presentation, we address the challenge of detecting biologically hazardous materials on fluorescing and unknown surface materials in realistic scenarios: we discuss the results of our algorithms for an optimized detection on surface materials unknown to the evaluation unit, where the algorithm is designed to separate between background signals and fluorescence responses from contaminations. In addition, we present possible training methods to improve the robustness of the evaluation unit against varying environmental conditions. These influences include e.g. changing daylight conditions, varying laser intensities and others. We also discuss the use of additional, complementary, accompanying information, on the detection efficiency, such as absorption information from monochrome filtered CCD-camera images.

Item URL in elib:https://elib.dlr.de/201632/
Document Type:Conference or Workshop Item (Speech)
Title:Stand-off detection of biological hazards on common surfaces by laser-induced fluorescence (LIF): Improved localization and classification routines
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Grzesiak, JonasUNSPECIFIEDhttps://orcid.org/0000-0001-9690-0780150458146
Kraus, MarianUNSPECIFIEDhttps://orcid.org/0000-0002-5385-9420UNSPECIFIED
Fellner, LeaUNSPECIFIEDhttps://orcid.org/0000-0002-1359-0260UNSPECIFIED
Walter, ArneUNSPECIFIEDhttps://orcid.org/0000-0002-4377-9152UNSPECIFIED
Duschek, FrankUNSPECIFIEDhttps://orcid.org/0000-0002-1809-0257UNSPECIFIED
Date:27 September 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
ISBN:9788894982756
Status:Published
Keywords:Stand-off detection, Biological Hazards, Laser Induced Fluorescence, Surface Scanning, Machine Learning
Event Title:Third Edition of the Scientific International Conference on CBRNe - SICC Series 2023
Event Location:Rom, Italien
Event Type:international Conference
Event Start Date:25 September 2023
Event End Date:29 September 2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - no assignment
Location: Lampoldshausen
Institutes and Institutions:Institute of Technical Physics > Atmospheric Propagation and Effect
Deposited By: Grzesiak, Jonas
Deposited On:09 Jan 2024 12:31
Last Modified:24 Apr 2024 21:02

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