Literature DB >> 17680795

The application of infrared chemical imaging to the detection and enhancement of latent fingerprints: method optimization and further findings.

Mark Tahtouh1, Pauline Despland, Ronald Shimmon, John R Kalman, Brian J Reedy.   

Abstract

Fourier transform infrared (FTIR) chemical imaging allows the collection of fingerprint images from backgrounds that have traditionally posed problems for conventional fingerprint detection methods. In this work, the suitability of this technique for the imaging of fingerprints on a wider range of difficult surfaces (including polymer banknotes, various types of paper, and aluminum drink cans) has been tested. For each new surface, a systematic methodology was employed to optimize settings such as spectral resolution, number of scans, and pixel aggregation in order to reduce collection time and file-size without compromising spatial resolution and the quality of the final fingerprint image. The imaging of cyanoacrylate-fumed fingerprints on polymer banknotes has been improved, with shorter collection times for larger image areas. One-month-old fingerprints on polymer banknotes have been successfully fumed and imaged. It was also found that FTIR chemical imaging gives high quality images of cyanoacrylate-fumed fingerprints on aluminum drink cans, regardless of the printed background. Although visible and UV light sources do not yield fingerprint images of the same quality on difficult, nonporous backgrounds, in many cases they can be used to locate a fingerprint prior to higher quality imaging by the FTIR technique. Attempts to acquire FTIR images of fingerprints on paper-based porous surfaces that had been treated with established reagents such as ninhydrin were all unsuccessful due to the swamping effect of the cellulose constituents of the paper.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17680795     DOI: 10.1111/j.1556-4029.2007.00517.x

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  3 in total

1.  Distinguishing cell types or populations based on the computational analysis of their infrared spectra.

Authors:  Francis L Martin; Jemma G Kelly; Valon Llabjani; Pierre L Martin-Hirsch; Imran I Patel; Júlio Trevisan; Nigel J Fullwood; Michael J Walsh
Journal:  Nat Protoc       Date:  2010-10-07       Impact factor: 13.491

2.  Infrared spectroscopic imaging of latent fingerprints and associated forensic evidence.

Authors:  Tsoching Chen; Zachary D Schultz; Ira W Levin
Journal:  Analyst       Date:  2009-07-24       Impact factor: 4.616

3.  Using Fourier transform IR spectroscopy to analyze biological materials.

Authors:  Matthew J Baker; Júlio Trevisan; Paul Bassan; Rohit Bhargava; Holly J Butler; Konrad M Dorling; Peter R Fielden; Simon W Fogarty; Nigel J Fullwood; Kelly A Heys; Caryn Hughes; Peter Lasch; Pierre L Martin-Hirsch; Blessing Obinaju; Ganesh D Sockalingum; Josep Sulé-Suso; Rebecca J Strong; Michael J Walsh; Bayden R Wood; Peter Gardner; Francis L Martin
Journal:  Nat Protoc       Date:  2014-07-03       Impact factor: 13.491

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.