DNA microarrays are an indispensable tool in molecular biology, which allows researchers to gain insight into the intricate mechanisms of gene expression. Common to all array-based technologies is the necessity to analyze digital images of the scanned DNA array. This book offers the basics of machine vision and image analysis for biologists, “how-to” approach to microarray image analysis, and practical tips for both the novice in this field and the advanced user.

In this book you will learn:

• Image analysis concepts
• Microarray scanners – the pros and cons
• Background corrections
• Correcting for systematic errors in your image analysis
• Microarray image analysis in minutes with software tools
• New developments in microarray image technology

This book provides a comprehensive introduction to microarray image analysis. The basic topics as well as several advanced ones are covered in the book. It emphasizes aspects of both theory and application. The book can be used for teaching as well as self-study. It will be a useful reference not only for computer and biology scientists, but for anyone using or interested in microarray technology.

Ming Dong, Ph.D.
Professor, Wayne State University

(Editor) Gerda Kamberova, Ph.D. is an Assistant Professor in Computer Science at Hofstra University, New York. She teaches computer vision, computer graphics, and artificial intelligence. Her PhD in Computer Science is from the University of Pennsylvania, Philadelphia. Dr. Kamberova has published research papers in computer vision, robotics, and applied statistics. Her current research interests are in shape representation and recovery and 3D data compression.

(Editor) Shishir Shah, Ph.D. is an Associate Professor at Wayne State University (Detroit, MI). Dr. Shah is an author of numerous publications on image analysis and data mining. His current interests are developing new applications for BAC arrays, enhanced microarray image processing and data analysis.