
Microscopic Image Analysis for Life Science Applications
Artech House Publishers
Published in July 2008
Book
Paperback/Softback
432 pages
978-1-59693-236-4 (ISBN)
Description
Bioimaging in life sciences is a burgeoning area that is of growing interest to today's professionals and researchers in the field. This is the first book that bridges the gap between biomedical imaging and the bioscience community. This unique resource gives professionals 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. The book presents applications that span a wide range of scales, from the detection of signaling events in sub-cellular structures, to the automated analysis of tissue structures. Other critical areas discussed include the dynamics of cell populations and in vivo microscopy. A DVD is also included. It contains full-color images, movies and other valuable supplementary material that further illustrate topics discussed in the book.
More details
Edition
Unabridged edition
Language
English
Place of publication
Norwood
United States
Target group
College/higher education
Professional and scholarly
Edition type
Unabridged edition
Dimensions
Height: 257 mm
Width: 183 mm
Thickness: 33 mm
Weight
1116 gr
ISBN-13
978-1-59693-236-4 (9781596932364)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Jens Rittscher
Microscopic Image Analysis for Life Science Applications
E-Book
01/2008
1st Edition
Artech House
€158.99
Available for download
Persons
Jens Rittscher is a research specialist at GE Global Research where he is a member of the Visualization and Computer Vision Lab. He holds a D.Phil. in computer vision from the University of Oxford. Stephen T.C. Wong is the vice chair and chief of medical physics in the Department of Radiology and the director of the bioinformatics program at The Methodist Hospital Research Institute. Raghu Machiraju is an associate professor in the Department of Computer Science and Engineering at Ohio State University. His main interests are in imaging and visualization as they are applied to biology, medicine and engineering.
Content
Molecular Probes for Fluorescence Microscopy.; Overview of Image Analysis Tools and Tasks for Microscopy.; Simulation and Estimation of Intra-Cellular Dynamics and Trafficking.; Techniques for Cellular and Tissue-Based Image Quantitation of Protein Biomarkers.; Methods for High-Content.; High-Throughput Image-Based Cell Screening.; Small Critter Imaging.; Processing In Vivo Fibered Confocal Microscopy Video Sequences.