Laboratory And Scientific Computing

Understanding how to apply the tools of data handling has become as much a part of the scientist's skills as doing a clinical study, unraveling a gene sequence in DNA, or conducting an experiment in high-energy physics. Yet too often laboratory automation is implemented on a costly, one-project-at-a-time basis. This unique guide surveys the current generation of laboratory computing equipment and procedures, explores the diverse computing needs and opportunities in the modern laboratory, and gives scientists, technicians, managers, and information systems personnel the strategic perspective they need to take full advantage of rapidly developing technology. Laboratory and Scientific Computing provides complete information on state-of-the-art computing environments and emerging technologies such as neural networks, artificial intelligence, and hyper-information systems.

The methods described in this book enable scientists and managers to evaluate each technology both in terms of its immediate impact on specific projects and its broader effect on the information handling of the laboratory as a whole.

This broad-based approach facilitates: Cost reduction through the elimination of faulty design Improved use of data and information Improvements in validation programs thereby reducing system validation costs Low-cost integration of emerging technologies Improved ability to meet regulatory requirements