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鲁维斯反射紫外成像系统能否可视化黄铜弹壳射击后指纹的腐蚀情况?

Can the RUVIS reflected UV imaging system visualize fingerprint corrosion on brass cartridge casings postfiring?

作者信息

Leintz Rachel, Bond John W

机构信息

Phoenix Police Department, Crime Laboratory, Crime Scene Response-Homicide Unit, Phoenix, AZ, USA.

出版信息

J Forensic Sci. 2013 May;58(3):772-5. doi: 10.1111/1556-4029.12101. Epub 2013 Mar 12.

DOI:10.1111/1556-4029.12101
PMID:23488591
Abstract

Comparisons are made between the visualization of fingerprint corrosion ridge detail on fired brass cartridge casings, where fingerprint sweat was deposited prefiring, using both ultraviolet (UV) and visible (natural daylight) light sources. A reflected ultraviolet imaging system (RUVIS), normally used for visualizing latent fingerprint sweat deposits, is compared with optical interference and digital color mapping of visible light, the latter using apparatus constructed to easily enable selection of the optimum viewing angle. Results show that reflected UV, with a monochromatic UV source of 254 nm, was unable to visualize fingerprint ridge detail on any of 12 casings analyzed, whereas optical interference and digital color mapping using natural daylight yielded ridge detail on three casings. Reasons for the lack of success with RUVIS are discussed in terms of the variation in thickness of the thin film of metal oxide corrosion and absorption wavelengths for the corrosion products of brass.

摘要

对使用紫外线(UV)和可见光(自然日光)光源在射击前已沉积指纹汗液的已发射黄铜弹壳上指纹腐蚀嵴细节的可视化情况进行了比较。将通常用于可视化潜在指纹汗液沉积物的反射紫外线成像系统(RUVIS)与可见光的光学干涉和数字颜色映射进行了比较,后者使用了便于选择最佳视角的装置。结果表明,使用254nm的单色紫外线光源的反射紫外线无法在分析的12个弹壳中的任何一个上可视化指纹嵴细节,而使用自然日光的光学干涉和数字颜色映射在三个弹壳上产生了嵴细节。从金属氧化物腐蚀薄膜厚度的变化以及黄铜腐蚀产物的吸收波长方面讨论了RUVIS未成功的原因。

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J Forensic Sci. 2013 May;58(3):772-5. doi: 10.1111/1556-4029.12101. Epub 2013 Mar 12.
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引用本文的文献

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Exploration of techniques for the enhancement of latent fingermarks from fired and unfired cartridge cases: a systematic review.探索从已发射和未发射弹壳上增强潜在指纹的技术:一项系统综述。
Forensic Sci Res. 2025 Feb 17;10(3):owaf006. doi: 10.1093/fsr/owaf006. eCollection 2025 Sep.
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In-sensor reservoir computing system for latent fingerprint recognition with deep ultraviolet photo-synapses and memristor array.基于深紫外光突触和忆阻器阵列的传感器内储层计算系统用于潜在指纹识别。
Nat Commun. 2022 Nov 3;13(1):6590. doi: 10.1038/s41467-022-34230-8.
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Monochrome Camera Conversion: Effect on Sensitivity for Multispectral Imaging (Ultraviolet, Visible, and Infrared).
单色相机转换:对多光谱成像(紫外线、可见光和红外线)灵敏度的影响
J Imaging. 2022 Feb 25;8(3):54. doi: 10.3390/jimaging8030054.