Imaging using synchrotron radiation for forensic science

F. Cervelli; S. Carrato; A. Mattei; M. Jerian; L. Benevoli; L. Mancini; F. Zanini; L. Vaccari; A. Perucchi; G. Aquilanti

doi:10.1117/12.876118

3 February 2011 Imaging using synchrotron radiation for forensic science

F. Cervelli, S. Carrato, A. Mattei, M. Jerian, L. Benevoli, L. Mancini, F. Zanini, L. Vaccari, A. Perucchi, G. Aquilanti

Author Affiliations +

Proceedings Volume 7870, Image Processing: Algorithms and Systems IX; 78700B (2011) https://doi.org/10.1117/12.876118
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

Forensic science is already taking benefits from synchrotron radiation (SR) sources in trace evidence analysis. In this contribution we show a multi-technique approach to study fingerprints from the morphological and chemical point of view using SR based techniques such as Fourier transform infrared microspectroscopy (FTIRMS), X-ray fluorescence (XRF), X-ray absorption structure (XAS), and phase contrast microradiography. Both uncontaminated and gunshot residue contaminated human fingerprints were deposited on lightly doped silicon wafers and on poly-ethylene-terephthalate foils. For the uncontaminated fingerprints an univariate approach of functional groups mapping to model FT-IRMS data was used to get the morphology and the organic compounds map. For the gunshot residue contaminated fingerprints, after a preliminary elemental analysis using XRF, microradiography just below and above the absorption edge of the elements of interest has been used to map the contaminants within the fingerprint. Finally, XAS allowed us to determine the chemical state of the different elements. The next step will be fusing the above information in order to produce an exhaustive and easily understandable evidence.

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F. Cervelli, S. Carrato, A. Mattei, M. Jerian, L. Benevoli, L. Mancini, F. Zanini, L. Vaccari, A. Perucchi, and G. Aquilanti "Imaging using synchrotron radiation for forensic science", Proc. SPIE 7870, Image Processing: Algorithms and Systems IX, 78700B (3 February 2011); https://doi.org/10.1117/12.876118

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