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ChemImage Advancing Hyperspectral Imaging Technology at FACSS 2009


ChemImage, a leader in Chemical Imaging technology, is pleased to announce our continuing support of the spectroscopy community at this year’s Federation of Chemical and Spectroscopy Societies (FACSS) 2009 annual meeting (October 18 – 22nd, Louisville, Kentucky). Representatives from ChemImage will be offering workshops as well as reporting on current developments within the threat and pharmaceutical markets of hyperspectral imaging applications and instrumentation.

The “Raman Chemical Imaging Technologies and Methods” workshop will be offered again this year after a very positive response from the FACSS community in 2008. ChemImage’s Founder and Chief Technology Officer, Dr. Patrick Treado, along with Principal Scientist, Dr. Matthew Nelson, will provide a half day workshop highlighting the rapidly maturing discipline that involves the integration of digital imaging with molecular spectroscopy, relying on Raman, fluorescence, visible, NIR and IR absorption/reflectance techniques. The course will cover image and spectral processing techniques that may be applied to the Chemical Imaging data to produce various qualitative and/or quantitative parameters associated with complex samples. Special emphasis will be placed on Raman Chemical Imaging applications in pharmaceutical and threat detection fields.

Dr. Nelson will also present a paper on standoff detection of chemical, biological and explosive (CBE) threats, entitled “Defusing the Enemy – Standoff Hyperspectral Imaging of Threats” in Tuesday’s poster session. This paper describes results obtained from ChemImage standoff hyperspectral sensors relevant to CBE detection as well as ongoing development of an integrated, compact, eye-safe, standoff hyperspectral sensor for the purpose of on-the-move (OTM) detection of hazards.

Dr. Charles Gardner, VP of Engineering at ChemImage, will be presenting in the Challenges for Raman Symposium on Monday afternoon. Dr. Gardner’s paper, entitled “Integration of a Proximity Raman Hyperspectral Imaging Chemical, Biological and Explosives (CBE) Detector on a Small Unmanned Ground Vehicle" will discuss the integration of Raman detection on UGVs and the challenges for remote measurements. Integration details and video documentation of the remote operation of the UGV and detector system will be shown and discussed.

In addition to threat related applications of hyperspectral imaging, ChemImage will also be discussing their progress related to pharmaceutical applications of this technology. Dr. Ryan Priore, Senior Scientist at ChemImage, will be presenting a paper in the NIR Spectroscopy/Imaging in Pharma Symposium entitled “A Comparison of Raman and NIR Chemical Imaging for Ingredient Specific Particle Sizing of Nasal Suspension Formulations.” This paper will discuss the development of a method for accurate size determination of an individual constituent in a complex pharmaceutical formulation based on wide-field chemical imaging methods.

ChemImage is pleased to be a contributor to this year’s FACSS conference program and take part in the community’s effort to advance science and technology to support both defense and security initiatives as well as pharmaceutical science worldwide.

About ChemImage
ChemImage Corporation is a world leader in hyperspectral imaging technologies, providing instrumentation, software, lab services and expert consulting to government, industrial and academic organizations. ChemImage offers these products and services for a range of applications including defense, security, pharmaceuticals, forensics and biomedical diagnostic research. Our state-of-the-art Chemical Imaging technology can help to reveal critical chemical and biological information about processes, products and services.

ChemImage’s main headquarters is located in Pittsburgh, Pennsylvania and houses research and development laboratories as well as engineering and manufacturing facilities. ChemImage may be contacted at +1 412-241-7335 or at


 Chemical Imaging
 hyperspectral imaging
 threat detection

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