High-Throughput Image Reconstruction and Analysis.

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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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Rao, A. Ravishankar
Otros Autores: Cecchi, Guillermo A.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Norwood : Artech House, 2008.
Colección:Artech House bioinformatics & biomedical imaging series.
Temas:
Imaging systems in biology.
Imaging systems in medicine.
Biology > Data processing.
Biological systems > Analysis.
Bioinformatics.
Diagnostic imaging.
Image Processing, Computer-Assisted > methods
Computational Biology > methods
Image Interpretation, Computer-Assisted > methods
Microscopy
Computational Biology
Diagnostic Imaging
Imagerie en biologie.
Imagerie médicale.
Biologie > Informatique.
Systèmes biologiques > Analyse.
Bio-informatique.
Imagerie pour le diagnostic.
Bioinformatics
Biology > Data processing
Diagnostic imaging
Imaging systems in biology
Imaging systems in medicine
Acceso en línea:Texto completo
Tabla de Contenidos:
  • High-Throughput Image Reconstruction and Analysis; Contents; Chapter 1: Introduction; 1.1 Part I: Emerging Technologies to Understand Biological Systems; 1.2 Part II: Understanding and Utilizing Parallel Processing Techniques; 1.3 Part III: Specific Applications of Parallel Computing; 1.4 Part IV: Postprocessing; 1.5 Conclusion; Acknowledgments; Part I: Emerging Technologies to Understand Biological Systems; Chapter 2: Knife-Edge Scanning Microscopy:High-Throughput Imaging and Analysis of Massive Volumes of Biological Microstructures.
  • Chapter 3: Parallel Processing Strategies for Cell Motility and Shape AnalysisChapter 4: Utilizing Parallel Processing in Computational Biology Applications; Part II: Understanding and Utilizing Parallel Processing Techniques; Chapter 5: Introduction to High-Performance Computing Using MPI; Chapter 6: Parallel Feature Extraction; Chapter 7: Machine Learning Techniques for Large Data; Part III: Specific Applications of Parallel Computing; Chapter 8: Scalable Image Regist.

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