Beginning in the 1960s, scientists across a wide range of disciplines cooperated in developing unbiased-or assumption free-stereology, based on stochastic geometry and probability theory, as a way to estimate the parameters of irregularly shaped objects without introducing bias. In recent years these new estimation techniques, which were originally quite painstaking and time consuming, have made a great deal of headway in disciplines such as neuroscience, thanks in part to the development of computer software for their application. Prestigious journals and grant-giving organizations now require the use of unbiased stereology in the projects that they support, and this trend is expected to continue. Principles and Practices of Unbiased Stereology will fill a need in the biomedical community as a clear, user-friendly introduction to this area for the increasing number of scientists who need to learn these techniques for their research. The work moves logically from a discussion of the historical background of stereology to full explanations of terms, concepts,and tools, with the latter part of the manuscript devoted to typical stereology designs. An associated web site will feature color illustrations and video clips demonstrating stereological techniques.
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This is an important book for the libraries of professionals in neurobiology, neurology, and neurosurgery.(Celso Agner Doody's Health Sciences Review)
This book is a valuable addition to the current literature on stereologic methods. Beginners will find it useful and easy to read. The text will also offer an excellent support for stereology courses as it provides the reader with sufficient technical background without being overwhelming with mathematical details, and is designed for a 'hands-on' approach to learning stereologic methods, unlike other books on the subject. The author's expertise is in neurobiology and neuropathology, but clearly this book is not targeting only 'neurostereologists'; investigators from all domains of biology, as well as geologists, material scientists, and engineers, will benefit from reading and using it.(Patrick R. Hof, Mount Sinai School of Medicine) L'autore:
Peter R. Mouton, Ph.D., is director and CEO of the Stereology Resource Center, Inc., and consulting director of the Stereology Laboratory at the Laboratory of Neurosciences Gerontology Research Center, NIA/NIH, in Baltimore.
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Descrizione libro Soft cover. Condizione libro: New. Codice libro della libreria 001150
Descrizione libro The Johns Hopkins University Press, 2002. Paperback. Condizione libro: New. 1. Codice libro della libreria DADAX0801867975
Descrizione libro Johns Hopkins University Press, 2002. Paperback. Condizione libro: New. Codice libro della libreria P110801867975