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High-throughput image reconstruction and analysis [E-Book]

Contributor(s):

Series: Artech House bioinformatics & biomedical imaging seriesPublication details: Norwood, MA : Artech House, 2009.Description: 1 online resource (xii, 339 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781596932968
1596932961

Subject(s):

NLM classification:

2009 C-263
W 26.5

Online resources:

Kingston Hospital NHS Foundation Trust OpenAthens account holders click here for access

Contents:

pt. 1. Emerging technologies to understand biological systems -- pt. 2. Understanding and utilizing parallel processing techniques -- pt. 3. Specific applications of parallel computing -- pt. 4. Post processing.

Abstract: 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. Publisher abstract.

Holdings
Item type	Home library	Class number	URL	Status	Date due	Barcode
Electronic book	Stenhouse Library		Link to resource	Available

Includes bibliographical references and index.

Print version record.

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. Publisher abstract.

WorldCat record variable field(s) change: 650

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