Flow Cytometry Data Analysis (Hardcover)

James V. Watson

ISBN 10: 0521415454 / ISBN 13: 9780521415453

Edité par Cambridge University Press, Cambridge, 1992

A propos de cet article

Hardcover. This book covers very basic number handling techniques, regression analysis, probability functions, statistical tests and methods of analyzing dynamic processes from flow cytometry data. These are developed for the analysis of not only individual DNA histograms to obtain the proportion of cells in the cell cycle phases, but also time courses of DNA histograms to yield cell cycle kinetic information; overlapping immunofluorescence distributions with confidence limits for the estimated proportions; enzyme kinetic and membrane transport parameters and a brief introduction to multivariate analysis is given. A distinction is made between data handling, for example gating and counting the numbers of cells within that gate, a process commonly regarded as data analysis but which, in reality, is data handling, and data analysis itself which is the means by which information is extracted. Flow cytometry produces large quantities of data which must be converted into information. This book, for all those who use cytometers, covers the means by which it must be carried out, namely basic handling concepts, regression analysis, probability functions, statistical tests and methods of analysing dynamic processes. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

N° de réf. du vendeur 9780521415453

Détails bibliographiques

• Titre: Flow Cytometry Data Analysis (Hardcover)
• Éditeur: Cambridge University Press, Cambridge
• Date de parution: 1992
• Langue: anglais
• ISBN à 10 chiffres: 0521415454
• ISBN à 13 chiffres: 9780521415453
• Reliure: Hardcover
• Édition: Edition originale
• État de l'article: new

A propos de ce titre

Synopsis

Flow cytometry is now well established in research laboratories and is gaining increasing use in clinical medicine and pathology. The technique enables multiple simultaneous light scatter and fluorescence measurements to be made at the individual cell level at very rapid rates and results in very large quantities of data being collected. Data, however, is just a series of numbers which have to be converted to information which, in turn, must be shown to have meaning. This is the most important single aspect of flow cytometry but it has received relatively little attention. One of the frequently voiced advantages of the technology is that it produces 'good statistics' because large numbers of cells have been analysed. However, it is not very often that confidence limits are placed on results, hence the reader has little or no feel for the inherent variability in the information produced. This book covers very basic number handling techniques, regression analysis, probability functions, statistical tests and methods of analysing dynamic processes. All those who use flow cytometry in their research will find this book an invaluable guide to interpreting the data produced by flow cytometers.