Imaging For Detection And Identification

The 70 revised full papers presented were carefully reviewed and selected from 145 submissions. The papers feature current research on mathematical methods and computing techniques for pattern recognition, computer vision, image analysis, and speech recognition, as well as their applications in such diverse areas as robotics, industry, health, entertainment, space exploration, telecommunications, data mining, document analysis, and natural language processing and recognition to name only few of them.

In this book authors present a dozen state of the art developments for ultrasound imaging, for example, hardware implementation, transducer, beamforming, signal processing, measurement of elasticity and diagnosis.

Mass spectrometry (MS) offers unmatched capabilities for the detection, characterization, and identification of a broad range of analytes. Mass spectrometry imaging (MSI) integrates MS data with information on the spatial distributions of the analytes, further enhancing the applicability of MS. In Mass Spectrometry Imaging: Principles and Protocols, expert practitioners from academia, industry, and the clinic contribute cutting-edge protocols describing the application of MSI to investigations of analyte localization in a variety of specimens, from microorganisms to plant and animal tissues. Divided into three sections, this volume presents the principles of MS, current and future trends of MSI, and qualitative and quantitative protocols to measure and identify endogenous metabolites and xenobiotics.