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dc.contributor.author
Onetto, Martín Alejandro
dc.contributor.author
Carignano, Edgardo
dc.contributor.author
Pregliasco, Rodolfo Guillermo
dc.date.available
2024-01-30T13:23:38Z
dc.date.issued
2023-09
dc.identifier.citation
Onetto, Martín Alejandro; Carignano, Edgardo; Pregliasco, Rodolfo Guillermo; False-negative probability in the SEM/EDS automated discovery of iGSR particles: A Bayesian approach; Wiley Blackwell Publishing, Inc; Journal of Forensic Sciences; 68; 5; 9-2023; 1792-1799
dc.identifier.issn
0022-1198
dc.identifier.uri
http://hdl.handle.net/11336/225212
dc.description.abstract
The automated search software integrated with a scanning electron microscope (SEM/EDS) has been the standard tool for detecting inorganic gunshot residues (iGSR) for several decades. The detection of these particles depends on various factors such as collection, preservation, contamination with organic matter, and the method for sample analysis. This article focuses on the influence of equipment resolution setup on the backscattered electron images of the sample. The pixel size of these images plays a crucial role in determining the detectability of iGSR particles, especially those with sizes close to the pixel size. In this study, we calculated the probability of missing all characteristic iGSR particles in a sample using an SEM/EDS automated search and how it depends on the image pixel resolution setup. We developed and validated an iGSR particle detection model that links particle size with equipment registers and applied it to 320 samples analyzed by a forensic science laboratory. Our results show that the probability of missing all characteristic iGSR particles due to their size is below 5% for pixel sizes below 0.32 μm2. These findings indicate that pixel sizes as large as twice the one commonly used in laboratory casework, that is, 0.16 μm2, are effective for initial sample scanning, yielding good detection rates of characteristic particles that could exponentially reduce laboratory workload.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Wiley Blackwell Publishing, Inc
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
BAYESIAN STATISTICS
dc.subject
GSR
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GUNSHOT RESIDUE
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OPTIMAL CONFIGURATION
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PARTICLE DETECTION
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PROBABILITY OF DETECTION
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SIZE DISTRIBUTION
dc.subject.classification
Otras Ciencias Físicas
dc.subject.classification
Ciencias Físicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
False-negative probability in the SEM/EDS automated discovery of iGSR particles: A Bayesian approach
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-01-29T15:34:42Z
dc.journal.volume
68
dc.journal.number
5
dc.journal.pagination
1792-1799
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Onetto, Martín Alejandro. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina
dc.description.fil
Fil: Carignano, Edgardo. Ministerio Público de Acusación; Argentina
dc.description.fil
Fil: Pregliasco, Rodolfo Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina
dc.journal.title
Journal of Forensic Sciences
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/1556-4029.15323
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/1556-4029.15323
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