Automation is facilitating incredible breakthroughs in everything from healthcare, pharmacology, and biotechnology to nanotechnology and genomics. Automation developers, scientists, and technicians need an increasingly sophisticated understanding of both the biological sciences and the engineering involved, and this comprehensive resource is the first interdisciplinary work that truly delivers. After a solid grounding in life science and automation engineering essentials, this indispensable resource describes state-of-the-art techniques for 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. It then demonstrates how these tools can be successfully integrated in larger-scale scale automation systems in areas like bio-instrumentation, cell and tissue manipulation, and laboratory automation.

About the Author

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. 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.

Bradley Nelson is the Professor of Robotics and Intelligent Systems at ETH Zurich, Switzerland and founder of the Institute of Robotics and Intelligent Systems there. Professor Nelson serves on, or has been a member of, the editorial boards of the IEEE Transactions on Robotics, IEEE Transactions on Nanotechnology, Journal of Micromechatronics, Journal of Optomechatronics, and the IEEE Robotics and Automation Magazine, and has chaired several international workshops and conferences. In 2005 he was named to the "Scientific American 50," the magazine's annual list recognizing leadership in science and technology. He received his Ph.D. in Robotics from Carnegie Mellon University.

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