Description
Gain thorough understanding of the science and engineering behind today's most advanced life sciences automation devices, systems, and technologies and their applications in biotechnology, pharmacology, and healthcare with this cutting-edge book. This comprehensive interdisciplinary resource details state-of-the-art design, modeling, and fabrication techniques for automation tools and demonstrates how they can be most effectively integrated in powerful medium-scale to large-scale automation systems to solve specific problems and challenges in the biological sciences. Showcasing the world's top researchers in the field, this definitive work brings you up to speed with basic molecular biology, analytical chemistry, and healthcare delivery methods together with engineering principles at the heart of human-machine interactions, machine vision, robotics, and control theory. It explores the latest advances in the design and development of sensors and actuators, lab-on-a-chip and bio-MEMs platforms, DNA and protein microarray fabrication automation, and drug delivery automation, and details how these devices perform in a broad range of system-level applications, including AFM-based systems as well as bio-instrumentation, cell and tissue manipulation, and laboratory automation. The book also spotlights emerging nanotechnology applications as well as genomics, proteomics, and pharmacogenomic automations. Supported by a wealth of real-world examples and 114 illustrations and photos, this indispensable work delivers breakthrough applied research and R&D technology that will help you successfully use life science automation and develop new applications and capabilities in the field.
Table Of Contents
Part I: Life Science Basis for Automation Basic Molecular Biology for Engineers. Basic Analytical Chemistry for Engineers. Basic Healthcare Delivery for Engineers. ; Part II: Engineering Basis for Life Science Automation Principles of Human-Machine Interfaces and Interactions. Fundamental Theory of Machine Vision and Microscopy. Control Mechanisms for Life Science Automation. Life Science Robotics. ; Part III: Device Design, Modeling and Fabrication Sensors and Actuators for Life Science Automation. Lab-on-a-chip and Bio-MEMS for Life Science Automation. Drug Delivery Automation. DNA and Protein Microarray Fabrication Automation. ; Part IV: System Integration Biological Cells and Tissue Manipulation Automation. AFM-Based Systems for Life Science Automation. Bio-Instrumentation Automation. Laboratory Automation. ; Part V: Advanced Life Science Automation Genomics, Proteomics and Phamacogenomic Automations. Nanotechnology for Advanced Life Science Automation.;
Author
-
Robin Felder
Robin Felder is director of the Medical Automation Research Center and Professor of Pathology at the University of Virginia. Dr. Felder founded the Association for Laboratory Automation, and was founding Editor of the Journal of the Association for Laboratory Automation, a peer reviewed journal that has been published for over six years. He is also the coeditor of Life Science Automation Fundamentals and Applications (Artech House, 2007), coauthor over 290 papers, and has been awarded 11 patents. Professor Felder also serves on the Board of seven medical and biotechnology companies. He received his Ph.D. in Biochemistry at Georgetown University, and did his postdoctoral work at the National Institutes of Mental Health.
-
Mingjun Zhang
Mingjun Zhang is an R&D engineer for Agilent Technologies, Palo Alto, California, where his work is focused on quantitative and automation approaches to life sciences and includes DNA gene-chip and protein microarray fabrication, modeling and control of drug delivery systems, and molecular diagnostics. He is Associate Editor of IEEE Transactions on Automated Science and Engineering, a member of the Nanomedicine Editorial Board. Dr. Zhang is also the coeditor of Life Science Automation Fundamentals and Applications (Artech House, 2007). He was awarded the first Early Career Award for industrial professionals by the IEEE Robotics and Automation Society in 2003. He received his D.Sc. from Washington University in St. Louis and his Ph.D. from Zhejiang University, China.