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An innovative passive standoff system for the detection of chemical/biological agents is described. The spectral, temporal and spatial resolution of the data collected are all adjustable in real time, making it possible to keep the tradeoff between the sensor operating parameters at optimum at all times. The instrument contains no macro-scale moving parts and is therefore an excellent candidate for the development of a robust, compact, lightweight and low-power-consumption sensor. The design can also serve as a basis for a wide variety of spectral instruments operating in the visible, NIR, MWIR, and LWIR to be used for surveillance, process control, and biomedical applications.

Neem: A Wonder Tree.

Bacteria Living on Arsenic Discovered.

Temsirolimus Approved in Singapore for Advanced Renal Cell Carcinoma.

Attune™ Acoustic Focusing Cytometer.

Securing Genetic Diversity of Rice in 'Doomsday Vault'.

Leica Opens New Dimension in Spectral Imaging.

An introduction to the basics of spectral imaging as applied to biological tissues is presented. An example of a spectral image of a face is used to demonstrate the data and spectral analysis that specify the melanin content (M), blood content (B), tissue oxygen saturation (S), water content (W), fraction of scattering due to Rayleigh scattering (f) and due to Mie scattering (1 - f), and the reduced scattering coefficient at 500-nm wavelength (μ′_{s 500 nm}). The sensitivity of reflectance spectra to variation in the various parameters is illustrated.

The application to detect illegally added drugs in dietary supplements by near-infrared spectral imaging was studied with the focus on nifedipine, diclofenac and metformin. The method is based on near-infrared spectral images correlation coefficient to detect illegally added drugs. The results comply 100% with HPLC methods test results with no false positive results.

The problem of in vivo photoluminescence diagnostics of the tissues accessible by endoscopes is discussed. The spectral imaging module attachable to conventional rigid and flexible medical endoscopes is developed and described. It is based on a double acousto-optical tunable filter (AOTF) and a specialized optical coupling system. The module provides wide field of view (FOV), absence of image distortions, random spectral access, fast spectral image acquisition at any wavelength in the visible range and accurate measurement of reflectance spectrum in each pixel of the image. Images of typical biomedical samples are presented and discussed. Their spectra are compared to the reference data.

Aberrant cellular signaling networks are implicated in major diseases including cancer, but are difficult to reliably quantitate, as many signaling proteins are expressed at low abundance and further reduced following specimen collection. MTIP is an integrated tissue-imaging platform that leverages bright, fluorescent reporters and sensitive spectral instrumentation, along with automated staining, image acquisition and non-parametric image analysis, to attain reproducible, multiplexed quantitation of signaling proteins in tissue. MTIP captured the phosphoactivity of six key PI3K/MAPK proteins (pAKTS473, pAKT308, pPRAS40, pS6, peIF4G and pERK1/2) at high precision (coefficient of variation, CV <10%), four-log dynamic range and subcellular resolution. We demonstrated the MTIP platform's capability to capture a diversity of PI3K/MAPK networks present in breast tumors. These protein networks are heterogeneously distributed across the tumor tissue and associated with subgroups of cells and underscore the importance of accessing information about signaling networks in spatially intact tissue. Analysis of PI3K/MAPK networks by hierarchical clustering showed that PI3K/MAPK networks do not strictly correlate with PI3K pathway mutations, also pointing to the value of functional signaling network profiling together with genomic information. MTIP's reliable quantitative capability can be applied to guide therapeutic development and selection in precision medicine.

An innovative passive standoff system for the detection of chemical/biological agents is described. The spectral, temporal and spatial resolution of the data collected are all adjustable in real time, making it possible to keep the tradeoff between the sensor operating parameters at optimum at all times. The instrument contains no macro-scale moving parts and is therefore an excellent candidate for the development of a robust, compact, lightweight and low-power-consumption sensor. The design can also serve as a basis for a wide variety of spectral instruments operating in the visible, NIR, MWIR, and LWIR to be used for surveillance, process control, and biomedical applications.