2006
DOI: 10.1002/cyto.a.20277
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Forensic visualization of foreign matter in human tissue by near‐infrared spectral imaging: Methodology and data mining strategies

Abstract: Background:Rapidity of data acquisition, high image fidelity and large field of view are of tremendous value when looking for chemical contaminants or for the proverbial “needle in the haystack” – in this case foreign inclusions in histologic sections of biopsy or autopsy tissues. Near infrared chemical imaging is one of three chemical imaging techniques (NIR, MIR and Raman) based on vibrational spectroscopy, and provides distinct technical advantages for this application.Methods:We have chosen to utilize and … Show more

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Cited by 12 publications
(7 citation statements)
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(19 reference statements)
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“…These limitations have been mitigated with the use of mid‐infrared spectroscopic mapping and/or imaging instruments , which provide the ability to collect an infrared spectrum at each discrete location. Although PDMS inclusions have been investigated using near‐infrared spectroscopic imaging , this technique may not necessarily be considered PDMS specific. The result of the FT‐IR imaging approach is a three‐dimensional “data cube” with two dimensions of spatial information and one dimension of chemical (molecular) information, which can be examined for the presence of targeted and untargeted compounds using a host of available data reduction software packages.…”
mentioning
confidence: 99%
“…These limitations have been mitigated with the use of mid‐infrared spectroscopic mapping and/or imaging instruments , which provide the ability to collect an infrared spectrum at each discrete location. Although PDMS inclusions have been investigated using near‐infrared spectroscopic imaging , this technique may not necessarily be considered PDMS specific. The result of the FT‐IR imaging approach is a three‐dimensional “data cube” with two dimensions of spatial information and one dimension of chemical (molecular) information, which can be examined for the presence of targeted and untargeted compounds using a host of available data reduction software packages.…”
mentioning
confidence: 99%
“…Technologies on the horizon include Raman spectroscopy, impedance cytometry, near infrared spectroscopy, and photoacoustic cytometry (18)(19)(20)(21)(22)(23). Newly developed or modified instrumentation for optical imaging based on reflectance, two-photon, and multispectral imaging can detect and localize cellular signatures of cancer in vivo, without the use of contrast agents or extrinsic dyes (24).…”
mentioning
confidence: 99%
“…Detection of explosive residues in fingerprints was also demonstrated in Emmons et al (24) using Raman chemical imaging. Examples of other forensic applications using chemical image analysis are classification of man‐made bicomponent fibers (25), document analysis where spectra were used to determine the sequence of intersecting lines produced by ballpoint pens and laser printers (26), analysis of paints, inks, and firearm propellants (27) in the UV–Vis–NIR and IR regions, the detection of mass graves using remote sensing (airborne and satellite imagery) in the UV–Vis–NIR range (28), the use of Raman imaging to detect different types of condom lubricant compounds (29), and the detection and visualization of foreign matter in human tissue (30) using near‐infrared chemical imaging. In addition, the application of chemical imaging techniques such as time‐of‐flight secondary ion mass spectrometry has also been reported in the literature, here for detecting various bioagents (31).…”
mentioning
confidence: 99%
“…Over the last 10 years, there has been a significant increase in the number of articles published using chemical imaging for forensic purposes. A majority of these contributions have been in the area of fingerprint detection (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32). In most of these cases, chemical imaging has been used to enhance weak and borderline fingerprints already treated with traditional methods, such as ninhydrin and cyanoacrylate.…”
mentioning
confidence: 99%