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Imaging Cellular and Molecular Biological Functions

'Imaging cellular and molecular biological function' provides a unique selection of essays by leading experts, aiming at scientist and student alike who are interested in all aspects of modern imaging, from its application and up-scaling to its development. Indeed the philosophy of this vo...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Shorte, Spencer L. (Editor ), Frischknecht, Friedrich (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Principles and Practice,
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Considerations for Routine Imaging
  • Entering the Portal: Understanding the Digital Image Recorded Through a Microscope
  • Quantitative Biological Image Analysis
  • The Open Microscopy Environment: A Collaborative Data Modeling and Software Development Project for Biological Image Informatics
  • Design and Function of a Light-Microscopy Facility
  • Advanced Methods and Concepts
  • Quantitative Colocalisation Imaging: Concepts, Measurements, and Pitfalls
  • Quantitative FRET Microscopy of Live Cells
  • Fluorescence Photobleaching and Fluorescence Correlation Spectroscopy: Two Complementary Technologies To Study Molecular Dynamics in Living Cells
  • Single Fluorescent Molecule Tracking in Live Cells
  • From Live-Cell Microscopy to Molecular Mechanisms: Deciphering the Functions of Kinetochore Proteins
  • Cutting-Edge Applications and Utilities
  • Towards Imaging the Dynamics of Protein Signalling
  • New Technologies for Imaging and Analysis of Individual Microbial Cells
  • Imaging Parasites in Vivo
  • Computer-Assisted Systems for Dynamic 3D Reconstruction and Motion Analysis of Living Cells
  • High-Throughput/High-Content Automated Image Acquisition and Analysis
  • Cognition Network Technology - A Novel Multimodal Image Analysis Technique for Automatic Identification and Quantification of Biological Image Contents
  • High-Content Phenotypic Cell-Based Assays.