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 introduction to nucleic acids and clinical laboratory testing, basic 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, 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 modeling and control of electroporation-mediated gene delivery for gene therapy. Supported by a wealth of real-world examples and over 110 illustrations, 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.
Mingjun Zhang
Life Science Automation Fundamentals and Applications [PDF ebook]
Life Science Automation Fundamentals and Applications [PDF ebook]
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Мова Англійська ● Формат PDF ● Сторінки 530 ● ISBN 9781596931060 ● Редактор Mingjun Zhang ● Видавець Artech House ● Опубліковано 2007 ● Завантажувані 3 разів ● Валюта EUR ● Посвідчення особи 4412883 ● Захист від копіювання Adobe DRM
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