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High-Throughput Image Reconstruction and Analysis

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Title: High-Throughput Image Reconstruction and Analysis
Description: Explore the latest developments in bioimaging, image analysis, and data mining with the first comprehensive book on innovative high-performance computing (HPC) techniques that are facilitating never-before research capabilities and applications. This unique resource demonstrates how HPC can solve the data bottleneck created by today's microscopy techniques. It provides state-of-the-art methods and algorithms for building complex models from large biological datasets and solving data analysis and interpretation problems. This innovative volume surveys the latest image acquisition advances in serial block face techniques in scanning electron microscopy, knife-edge scanning microscopy, and 4D imaging of multi-component biological systems. The book introduces parallel processing for biological applications. You learn advanced parallelization techniques for decomposing a problem domain and mapping it onto a parallel processing architecture using the message-passing interface (MPI) and OpenMP. Case studies show how these techniques have been successfully used in simulation tasks, data mining, and graphical visualization of biological datasets. You also find coverage of methods for developing scalable biological image databases and for facilitating greater interactive visualization of large image sets.
Authors: Rao, A. Ravishankar, Cecchi, Guillermo A.
Resource Type: eBook.
Subjects: Biological systems--Analysis, Bioinformatics, Diagnostic imaging, Imaging systems in medicine, Imaging systems in biology, Biology--Data processing, Computational biology
Categories: MEDICAL / Diagnosis, MEDICAL / Diagnostic Imaging / General
Database: eBook Collection (EBSCOhost)
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  Data: Explore the latest developments in bioimaging, image analysis, and data mining with the first comprehensive book on innovative high-performance computing (HPC) techniques that are facilitating never-before research capabilities and applications. This unique resource demonstrates how HPC can solve the data bottleneck created by today's microscopy techniques. It provides state-of-the-art methods and algorithms for building complex models from large biological datasets and solving data analysis and interpretation problems. This innovative volume surveys the latest image acquisition advances in serial block face techniques in scanning electron microscopy, knife-edge scanning microscopy, and 4D imaging of multi-component biological systems. The book introduces parallel processing for biological applications. You learn advanced parallelization techniques for decomposing a problem domain and mapping it onto a parallel processing architecture using the message-passing interface (MPI) and OpenMP. Case studies show how these techniques have been successfully used in simulation tasks, data mining, and graphical visualization of biological datasets. You also find coverage of methods for developing scalable biological image databases and for facilitating greater interactive visualization of large image sets.
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RecordInfo BibRecord:
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      – Code: 616.0754
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Biological systems--Analysis
        Type: general
      – SubjectFull: Bioinformatics
        Type: general
      – SubjectFull: Diagnostic imaging
        Type: general
      – SubjectFull: Imaging systems in medicine
        Type: general
      – SubjectFull: Imaging systems in biology
        Type: general
      – SubjectFull: Biology--Data processing
        Type: general
      – SubjectFull: Computational biology
        Type: general
    Titles:
      – TitleFull: High-Throughput Image Reconstruction and Analysis
        Type: main
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            NameFull: Rao, A. Ravishankar
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            NameFull: Cecchi, Guillermo A.
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            NameFull: Rao, A. Ravishankar
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            NameFull: Cecchi, Guillermo A.
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2009
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9781596932951
            – Type: isbn-electronic
              Value: 9781596932968
          Titles:
            – TitleFull: High-Throughput Image Reconstruction and Analysis
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