Quantitative Methods in Neuroscience
A Neuroanatomical Approach
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A termék adatai:
- Kiadó OUP Oxford
- Megjelenés dátuma 2004. július 8.
- ISBN 9780198505280
- Kötéstípus Keménykötés
- Terjedelem350 oldal
- Méret 237x164x25 mm
- Súly 690 g
- Nyelv angol
- Illusztrációk 7pp colour plates; numerous figures and halftones 0
Kategóriák
Rövid leírás:
Stereology is a valuable tool for scientists, allowing them to make accurate 3-D reconstructions of the brain from 2-D data - using unbiased data. 'Quantitative methods in neuroscience' is a cookbook of stereological methods - the first ever written for neuroscientists. It provides clear and accessible advice about how and when to use stereological techniques. The book will be a valuable introduction to these methods for neuroscientists, and all those involved in development of new drug programmes.
TöbbHosszú leírás:
Stereology is a valuable tool for neuroscientists, allowing them to obtain 3-Dimensional information from 2-Dimensional measurements made on appropriately sampled sections (usually obtained from histological sections or MRI/CT/PET scans). This 3-D information is invaluable in correlating structural/functional relationships in the pursuit of far greater understanding of the function of the central nervous system. However, in carrying out such measurements, often based on limited data sets, there is a risk of experimenter bias. An important feature of modern design based stereology is to be aware of potential sources of bias and eliminate them during the data collection. With many of the major neuroscience journals now insisting that quantitative data be presented, there is a greater need than ever for neuroscientists to understand the theory and practice behind quantitative methods, such as those offered by stereology.
Quantitative Methods in Neuroscience is a cookbook of stereological methods written especially for neuroscientists. It provides clear and accessible advice about when and when not to use stereology. Throughout the book, the emphasis is on practical guidance, rather than discussions and formulae. Written by leading scientists in the field of stereology, with a Foreword by D.C. Sterio, the book will be a valuable introduction to these methods for neuroscientists, and all those involved in development of new drug programmes.
The book is a practical tool for the increasingly large number of neuroscientists who require specific stereological techniques. It is both informative and valuable, in that it suggests appropriate methods and statistical treatments for resolving particular types of stereological problems.
Tartalomjegyzék:
Introduction
A case study from neuroscience involving stereology and multivariate analysis
Section 1: Number
Introduction
The use of fluorescent probes in cell counting procedures
Counting in situ hybridized neurons
Number in electron microscopy: estimation of total number of synapses in the main regions of human neocortex
The number of microvessels estimated by an unbiased stereological method applied in a brain region
Section 2: Volume
Introduction
The nucleator and the planar and optical rotators applied in rat dorsal root ganglia
Estimation of number and volume of immunohistochemically stained neurons in complex brain regions
Section 3: Length
Introduction
Length estimation of nerve fibers in human white matter using isotropic uniformly random sections
Virtual test systems for estimation of orientation- dependent parameters in thick, arbitrary oriented sections exemplified by length quantification of regenerating axons in spinal cord lesions using isotropic, virtual planes
Section 4: Second order stereology
Spatial distribution
Section 5: Cell Culture
Unbiased morphometrical techniques for the quantitative assessment of cells in primary dissociation cultures
