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Microscopic Image Analysis for Life Science Applications [With CDROM] (Bioinformatics & Biomedical Imaging) 14.0%OFF

Microscopic Image Analysis for Life Science Applications [With CDROM] (Bioinformatics & Biomedical Imaging)

by Jens Rittscher, Raghu Machiraju and Stephen T. C. Wong

  • ISBN

    :  

    9781596932364

  • Publisher

    :  

    Artech House Publishers

  • Subject

    :  

    Other Technologies & Applied Sciences, Biology, Life Sciences, Computer Science

  • Binding

    :  

    HARDCOVER

  • Pages

    :  

    489

  • Year

    :  

    2008

15854.0

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  • Description

    Bioimaging in life sciences is a burgeoning area that is of growing interest to today's professionals and researchers in the field. This is the first book that bridges the gap between biomedical imaging and the bioscience community. This unique resource gives professionals a detailed understanding of imaging platforms, fluorescence imaging, and fundamental image processing algorithms. Further, it guides readers through theapplication of advanced image analysis methods and techniques to specific biological problems. The book presents applications that span a wide range of scales, from the detection of signaling events in sub-cellular structures, to the automated analysis of tissue structures. Other critical areas discussed include the dynamics of cell populations and in vivo microscopy. A DVD is also included. It contains full-color images, movies and other valuable supplementary material that further illustrate topics discussed in the book.

  • Author Biography

    Jens Rittscher is a research specialist at GE Global Research where he is a member of the Visualization and Computer Vision Lab. He holds a D.Phil. in computer vision from the University of Oxford. Stephen T.C. Wong is the vice chair and chief of medical physics in the Department of Radiology and the director of the bioinformatics program at The Methodist Hospital Research Institute. Raghu Machiraju is an associate professor in the Department of Computer Science and Engineering at Ohio State University. His main interests are in imaging and visualization as they are applied to biology, medicine and engineering.

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