Overview

This volume discusses the latest advancements used in various stereological methods to study different neural structures. The chapters in this book cover topics such as microglia measurements, estimation of axonal length, morphological analysis of large nuclei such as the human caudate nucleus, assessments of tissue damage after spinal cord injury in rodents, and the application of automatic stereological methods and artificial intelligence to neural tissue. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Cutting-edge and comprehensive, Advances in Stereology for Neuroscience is a valuable resource for researchers who are interested in learning more about this important and developing field.

Full Product Details

Author:   Javier Bernacer ,  María García-Amado
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2024 ed.
Volume:   208
ISBN:  

9781071639764

ISBN 10:   1071639765
Pages:   218
Publication Date:   19 June 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Isotropic Virtual Planes for Measuring Axonal Length: Population and Single Neuron Approaches in Mice and Human Brain.- Length Measurement of Cholinergic Innervation in the Tunica Albuginea of Rat Testis.- Stereological Approaches to Microglia Morphometry.- Stereology of the Human Caudate Nucleus.- Stereological Evaluation of Tissue Preservation after Neuroprotective Treatments for Traumatic Spinal Cord Injury.- Block Advance Causes Substantial Error in Stereology Estimates of Cavalieri Volume and Disector-Based Cell Counts.- VolumesJ: A New Method and Tool for Volumetric Estimation of Brain Structures after Serial Sectioning.- Comparison of Methods for Counting Neurons and Neuron Profiles in Brain Sections.- Applications of Automatic Unbiased Stereology to Neural Tissue.

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