TY  - BOOK
AU  - Ravishankar Rao,A.
AU  - Cecchi,Guillermo A.
TI  - High-throughput image reconstruction and analysis
T2  - Bioinformatics & biomedical imaging
SN  - 9781596932968
AV  - R857.O6 .H54 2009eb
U1  - 616.0754 22
PY  - 2009///
CY  - Norwood, MA
PB  - Artech House
KW  - Imaging systems in medicine
KW  - Imaging systems in biology
KW  - Biology
KW  - Data processing
KW  - Biological systems
KW  - Analysis
KW  - Bioinformatics
KW  - Diagnostic imaging
KW  - Computational biology
KW  - Image Processing, Computer-Assisted
KW  - methods
KW  - Computational Biology
KW  - Image Interpretation, Computer-Assisted
KW  - Microscopy
KW  - Diagnostic Imaging
KW  - Imagerie médicale
KW  - Imagerie en biologie
KW  - Biologie
KW  - Informatique
KW  - Systèmes biologiques
KW  - Analyse
KW  - Bio-informatique
KW  - Imagerie pour le diagnostic
KW  - fast
KW  - Electronic books
N1  - Includes bibliographical references and index; 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
N2  - 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
UR  - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=284225
ER  -