Microscopic image analysis for life science applications /

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This unique resource gives you a detailed understanding of imaging platforms, fluorescence imaging, and fundamental image processing algorithms. Further, it guides you through application of advanced image analysis methods and techniques to specific biological problems. The book presents application...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Rittscher, Jens, Machiraju, Raghu, Wong, Stephen T. C.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Norwood, MA : Artech House, ©2008.
Colección:Artech House bioinformatics & biomedical imaging series.
Temas:
Microscopy.
Image analysis.
Imaging systems.
Microscopy > methods
Microscopy
Image Enhancement
Image Interpretation, Computer-Assisted > methods
Imaging, Three-Dimensional
Tissue Array Analysis > methods
Microscopie.
Analyse d'images.
Imagerie (Technique)
microscopy.
NATURE > Reference.
SCIENCE > Life Sciences > General.
SCIENCE > Life Sciences > Biology.
Image analysis
Imaging systems
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Microscopic Image Analysis for LifeScience Applications; Contents; Foreword; Preface; Chapter 1 Introduction to Biological Light Microscopy; Chapter 2 Molecular Probes for Fluorescence Microscopy; Chapter 3 Overview of Image Analysis Tools and Tasks for Microscopy; Chapter 4 An Introduction to Fluorescence Microscopy: Basic Principles, Challenges, and Opportunities; Chapter 5 FARSIGHT: A Divide and Conquer Methodology for Analyzing Complex and Dynamic Biological Microenvironments
  • Chapter 6 MST-Cut: A Minimum Spanning Tree
  • Based Image Mining Tool and Its Applications in Automatic Clustering of Fruit Fly Embryonic Gene Expression Patterns and Predicting Regulatory MotifsChapter 7 Simulation and Estimation of Intracellular Dynamics and Trafficking; Chapter 8 Techniques for Cellular and Tissue-Based Image Quantitation of Protein Biomarkers; Chapter 9 Methods for High-Content, High-Throughput, Image-Based Cell Screening; Chapter 10 Particle Tracking in 3D+t Biological Imaging
  • Chapter 11 Automated Analysis of the Mitotic Phases of Human Cells in 3-DFluorescence Microscopy Image SequencesChapter 12 Automated Spatio-Temporal CellCycle Phase Analysis Based on Covert GFP Sensors; Chapter 13 Cell Segmentation for Division Rate Estimation in Computerized Video Time-Lapse Microscopy; Systems Biology and the Digital Fish Project: A Vast New Frontier for Image Analysis; Chapter 15 Quantitative Phenotyping Using Microscopic Images; Chapter 16 Automatic 3-D Morphological Reconstruction of Neuron Cells from Multiphoton Images
  • Chapter 17 Robust 3-D Reconstruction and Identification of Dendritic SpinesChapter 18 Small Critter Imaging; Chapter 19 Processing of In Vivo Fibered Confocal Microscopy Video Sequences; About the Editors; List of Contributors; Blank Page; Index

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