TY - BOOK ID - 136025118 TI - High-throughput image reconstruction and analysis AU - Cecchi, Guillermo A. AU - Ravishankar Rao, A. PY - 2009 SN - 1596932961 9781596932968 9781596932951 1596932953 PB - Boston, [Mass.] ; London : Artech House, DB - UniCat KW - Biomedical engineering. KW - Diagnostic imaging. KW - Imaging systems in medicine. UR - https://www.unicat.be/uniCat?func=search&query=sysid:136025118 AB - 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. ER -