» Articles » PMID: 37765793

Crime Light Imaging (CLI): A Novel Sensor for Stand-Off Detection and Localization of Forensic Traces

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2023 Sep 28
PMID 37765793
Authors
Affiliations
Soon will be listed here.
Abstract

Stand-off detection of latent traces avoids the scene alteration that might occur during close inspection by handheld forensic lights. Here, we describe a novel sensor, named Crime Light Imaging (CLI), designed to perform high-resolution photography of targets at a distance of 2-10 m and to visualize some common latent traces. CLI is based on four high-power illumination LEDs and one color CMOS camera with a motorized objective plus frontal filters; the LEDs and camera could be synchronized to obtain short-exposure images weakly dependent on the ambient light. The sensor is integrated into a motorized platform, providing the target scanning and necessary information for 3D scene reconstruction. The whole system is portable and equipped with a user-friendly interface. The preliminary tests of CLI on fingerprints at distance of 7 m showed an excellent image resolution and drastic contrast enhancement under green LED light. At the same distance, a small (1 µL) blood droplet on black tissue was captured by CLI under NIR LED, while a trace from 15 µL semen on white cotton became visible under UV LED illumination. These results represent the first demonstration of true stand-off photography of latent traces, thus opening the way for a completely new approach in crime scene forensic examination.

Citing Articles

A Novel LIBS Sensor for Sample Examinations on a Crime Scene.

Lazic V, Andreoli F, Almaviva S, Pistilli M, Menicucci I, Ulrich C Sensors (Basel). 2024; 24(5).

PMID: 38475005 PMC: 10933989. DOI: 10.3390/s24051469.

References
1.
Alsberg B, Rosvold J . Rapid localization of bone fragments on surfaces using back-projection and hyperspectral imaging. J Forensic Sci. 2014; 59(2):474-80. DOI: 10.1111/1556-4029.12319. View

2.
Humphreys J, Porter G, Bell M . The quantification of fingerprint quality using a relative contrast index. Forensic Sci Int. 2008; 178(1):46-53. DOI: 10.1016/j.forsciint.2008.02.003. View

3.
Virkler K, Lednev I . Analysis of body fluids for forensic purposes: from laboratory testing to non-destructive rapid confirmatory identification at a crime scene. Forensic Sci Int. 2009; 188(1-3):1-17. DOI: 10.1016/j.forsciint.2009.02.013. View

4.
Malegori C, Alladio E, Oliveri P, Manis C, Vincenti M, Garofano P . Identification of invisible biological traces in forensic evidences by hyperspectral NIR imaging combined with chemometrics. Talanta. 2020; 215:120911. DOI: 10.1016/j.talanta.2020.120911. View

5.
Exline D, Wallace C, Roux C, Lennard C, Nelson M, Treado P . Forensic applications of chemical imaging: latent fingerprint detection using visible absorption and luminescence. J Forensic Sci. 2003; 48(5):1047-53. View