Patrick J. Treado

INTEGRATION OF ELEMENTAL AND MOLECULAR IMAGING TO CHARACTERIZE HETEROGENEOUS INORGANIC MATERIALS

Spatially resolved elemental and molecular information has been obtained for complex inorganic mixed-phase systems, including plutonium-contaminated ash samples, with the use of micro-X-ray fluorescence (MXRF), micro-Raman, and micro-infrared imaging spectroscopies. Approaches for spatially guided analysis and the combination of multispectral data sets to improve assignment of chemical composition are discussed for two heterogeneous materials. This novel integrated experimental approach provides the advantages of a very small sample size and the ability to correlate elemental analysis with molecular functional group analysis for species identification, as well as insight into chemical interactions in complex matrices.

Detection and identification of a water mixture of E. coli cells and B. subtilis spores with raman chemical imaging microscopy

Raman chemical imaging microscopy was used to visualize and discriminate between biological substances with Raman spectral database identification. Water suspensions were investigated for mixtures of different concentrations of E. coli and Bacillus subtilis spores.

Hyperspectral imaging detection of CBE threat materials

Chemical imaging, a multi-mode hyperspectral imaging approach combining Raman, fluorescence and NIR spectroscopies, is being evaluated for point and standoff detection of chemical, biological and explosive (CBE) threats. Results from sponsored studies will be presented.

Molecular Chemical Imaging of Kidney Cancer Tumor Margins

Molecular Chemical Imaging, using liquid crystal tunable filters combined with visible/near-infrared hyperspectral imaging and advanced exploitation algorithms, provides a reagentless detection technique for assessing tumor margins in human tissues.

Biological substance characterization in water matrices with raman microscopy

Raman microspectroscopy is investigated for spectral information from bacteria and protein biological substances in distilled and tap water matrices. Laser energy flux, multivariate dataspace biological differentiation, and substance aging in water matrices were investigated.