Research Catalog

Title

Microscopic image analysis for life science applications / Jens Rittscher, Raghu Machiraju, Stephen T.C. Wong, editors.

Publication

Boston : Artech House, [2008], ©2008.

Items in the Library & Off-site

Holdings

Details

Additional Authors

• Rittscher, Jens.
• Machiraju, Raghu.
• Wong, Stephen T. C.

Description

xxii, 489 pages, 20 unnumbered pages of plates : illustrations (some color); 27 cm +

Summary

"Microscopic Image Analysis for Life Science Applications is the first book to bridge the gap between biomedical imaging and the bioscience community. This resource offers a detailed understanding of imaging platforms, fluorescence imaging, and fundamental image processing algorithms. Further, it guides readers through the application of advanced image analysis methods and techniques to specific biological problems. This book presents applications that span a wide range of scales, from the detection of signaling events in subcellular structures to the automated analysis of tissue structures. Other critical areas discussed include the dynamics of cell populations and in vivo microscopy. This volume is supported with more than 160 illustrations that reinforce key topics throughout the book."--BOOK JACKET.

Series Statement

Artech House bioinformatics & biomedical imaging series

Uniform Title

Artech House bioinformatics & biomedical imaging series.

Subjects

• Imaging systems
• Image analysis
• Microscopy

Bibliography (note)

• Includes bibliographical references and index.

Contents

Pt. I. Introduction -- Ch. 1. Introduction to Biological Light Microscopy -- Ch. 2. Molecular Probes for Fluorescence Microscopy -- Ch. 3. Overview of Image Analysis Tools and Tasks for Microscopy -- Ch. 4. An Introduction to Fluorescence Microscopy: Basic Principles, Challenges, and Opportunities -- Ch. 5. FARSIGHT: A Divide and Conquer Methodology for Analyzing Complex and Dynamic Biological Microenvironments -- Pt. II. Subcellular Structures and Events -- Ch. 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 Motifs -- Ch. 7. Simulation and Estimation of Intracellular Dynamics and Trafficking -- Ch. 8. Techniques for Cellular and Tissue-Based Image Quantitation of Protein Biomarkers -- Ch. 9. Methods for High-Content, High-Throughput, Image-Based Cell Screening -- Pt. III. Structure and Dynamics of Cell Populations -- Ch. 10. Particle Tracking in 3D+t Biological Imaging -- Ch. 11. Automated Analysis of the Mitotic Phases of Human Cells in 3-D Fluorescence Microscopy Image Sequences -- Ch. 12. Automated Spatio-Temporal Cell Cycle Phase Analysis Based on Covert GFP Sensors -- Ch. 13. Cell Segmentation for Division Rate Estimation in Computerized Video Time-Lapse Microscopy -- Pt. IV. Automated Cellular and Tissue Analysis -- Ch. 14. Systems Biology and the Digital Fish Project: A Vast New Frontier for Image Analysis -- Ch. 15. Quantitative Phenotyping Using Microscopic Images -- Ch. 16. Automatic 3-D Morphological Reconstruction of Neuron Cells from Multiphoton Images -- Ch. 17. Robust 3-D Reconstruction and Identification of Dendritic Spines -- Pt. V. In Vivo Microscopy -- Ch. 18. Small Critter Imaging -- Ch. 19. Processing of In Vivo Fibered Confocal Microscopy Video Sequences.

ISBN

• 9781596932364 (cased)
• 1596932368 (cased)

LCCN

40015873678

OCLC

• 221163265
• ocn221163265
• SCSB-5433492

Owning Institutions

Columbia University Libraries