DEVELOPMENT of DISTRIBUTION MAPS of SPECTRALLY SIMILAR DEGRADATION PRODUCTS by RAMAN CHEMICAL IMAGING MICROSCOPE COUPLED WITH A NEW VARIABLE SELECTION TECHNIQUE and SIMCA CLASSIFIER

Author(s):  
Ahmed A. Saleh ◽  
Maha Hegazy ◽  
Samah Abbas ◽  
Amira Elkosasy
2009 ◽  
Vol 63 (11) ◽  
pp. 1197-1203 ◽  
Author(s):  
E. D. Emmons ◽  
A. Tripathi ◽  
J. A. Guicheteau ◽  
S. D. Christesen ◽  
A. W. Fountain

Raman chemical imaging (RCI) has been used to detect and identify explosives in contaminated fingerprints. Bright-field imaging is used to identify regions of interest within a fingerprint, which can then be examined to determine their chemical composition using RCI and fluorescence imaging. Results are presented where explosives in contaminated fingerprints are identified and their spatial distributions are obtained. Identification of explosives is obtained using Pearson's cosine cross-correlation technique using the characteristic region (500–1850 cm−1) of the spectrum. This study shows the ability to identify explosives nondestructively so that the fingerprint remains intact for further biometric analysis. Prospects for forensic examination of contaminated fingerprints are discussed.


2012 ◽  
Vol 1 (2) ◽  
pp. 159-183 ◽  
Author(s):  
Márcia C. Breitkreitz ◽  
Ronei J. Poppi

The Analyst ◽  
2019 ◽  
Vol 144 (5) ◽  
pp. 1513-1518 ◽  
Author(s):  
Markus Nordberg ◽  
Lars Landström

A simple and robust set up for achieving hyperspectral imaging in the UV is shown and initial results presented.


2002 ◽  
Vol 8 (S02) ◽  
pp. 59-60
Author(s):  
Thomas J. Tague ◽  
Christian P. Schultz ◽  
Lisa Miller

2017 ◽  
Author(s):  
Jianwei Qin ◽  
Moon S. Kim ◽  
Kuanglin Chao ◽  
Maria Gonzalez ◽  
Byoung-Kwan Cho

1995 ◽  
Vol 67 (23) ◽  
pp. 4316-4321 ◽  
Author(s):  
Michael D. Schaeberle ◽  
Costas G. Karakatsanis ◽  
Clifford J. Lau ◽  
Patrick J. Treado

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