Combined deep-UV induced fluorescence multispectral imaging and resonance-Raman: a dual modality approach for rapid location and identification of in-theatre biological contaminants

David J. M. Stothard; John Leck; Marek Michalowski; Paul Murray; Stephen Marshall; Kelly M. Curtis; Chris R. Howle; William Brooks; Michael Foster

doi:10.1117/12.2621607

30 May 2022 Combined deep-UV induced fluorescence multispectral imaging and resonance-Raman: a dual modality approach for rapid location and identification of in-theatre biological contaminants

David J. M. Stothard, John Leck, Marek Michalowski, Paul Murray, Stephen Marshall, Kelly M. Curtis, Chris R. Howle, William Brooks, Michael Foster

Author Affiliations +

Proceedings Volume PC12116, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIII; PC1211609 (2022) https://doi.org/10.1117/12.2621607
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

The dual requirement for high spatial and substance specificity makes stand-off in-theatre biological detection of surface biological contaminants extremely challenging. We will describe a novel combined fluorescence multispectral imaging (MSI) and stand-off Raman approach which are united through their use of deep-UV (sub-250 nm excitation. This allows high-confidence location and classification of candidate contamination sites over the camera field of view, and subsequent resonance-Raman classification of these identified sites. Stand-off Raman is enabled through the use of a novel, extremely high-throughput Spatial Heterodyne spectrometer. The viability of this approach is confirmed through its use on application relevant biological simulant samples.

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David J. M. Stothard, John Leck, Marek Michalowski, Paul Murray, Stephen Marshall, Kelly M. Curtis, Chris R. Howle, William Brooks, and Michael Foster "Combined deep-UV induced fluorescence multispectral imaging and resonance-Raman: a dual modality approach for rapid location and identification of in-theatre biological contaminants", Proc. SPIE PC12116, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIII, PC1211609 (30 May 2022); https://doi.org/10.1117/12.2621607

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KEYWORDS

Deep ultraviolet

Luminescence

Raman spectroscopy

Multispectral imaging

Contamination

Heterodyning

Scene classification

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