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Flow cytometry : Principles and applications
Flow cytometry forms an integral part of both basic biological research and clinical diagnosis in pathology. This straightforward new volume provides a clear, easy-to-read, and practical manual for both clinicians and non-clinicians at all levels of their careers. The chapter topics range from basic principles to more advanced subjects, such as apoptosis and cell sorting. Throughout Flow Cytometry: Principles and Applications, well-informed expert contributors present theoretical descriptions and practical protocols on this important and complex laboratory technique and its applications. Immunologists and Hematologists in the field of pathology, as well as biological researchers working with both human and animal models will appreciate the simple, clear-cut style in which principles and protocols in this volume are presented, and will refer to this book time and time again for clear and easy-to-follow protocols.
Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models
Flow of ions through voltage gated channels can be represented theoretically using stochastic differential equations where the gating mechanism is represented by a Markov model. The flow through a channel can be manipulated using various drugs, and the effect of a given drug can be reflected by changing the Markov model. These lecture notes provide an accessible introduction to the mathematical methods needed to deal with these models. They emphasize the use of numerical methods and provide sufficient details for the reader to implement the models and thereby study the effect of various drugs. Examples in the text include stochastic calcium release from internal storage systems in cells, as well as stochastic models of the transmembrane potential. Well known Markov models are studied and a systematic approach to including the effect of mutations is presented.
