Design-based, unbiased stereology is the standard methodology for quantitative histology because it is particularly useful for the identification of subtle yet important alterations in the morphology of the nervous system during development or disease. MBF Bioscience has been in the business of stereology for more than ten years since the creation of Stereo Investigator, the most advanced and full-featured stereology package available. 

MBF Bioscience continues to take an active role in assisting researchers become proficient in this emerging methodology with the publication of the newly revised second edition of Stereology for Biological Research with a Focus on Neuroscience, a concise, accessible book written by MBF Bioscience experts. It introduces design-based, unbiased stereology to scientists interested in, but not familiar with, the application of this methodology in neuroscience and other biomedical research fields.

Covering topics such as the prerequisites for stereology research, methodology for design-based stereology, application of design-based stereology in biomedical research (such as stem cell, lung, kidney research, and Parkinson's and Alzheimer's diseases) as well as the future of stereology, this book is an excellent first resource for scientists.

Stereological techniques allow biologists to create quantitative, three-dimensional descriptions of biological structures from two-dimensional images of tissue viewed under the microscope. For example, they can accurately estimate the size of a particular organelle, the total length of a mass of capillaries, or the number of neurons or synapses in a particular region of the brain.

This book provides a practical guide to designing and critically evaluating stereological studies of the nervous system and other tissues. It explains the basic concepts behind design-based stereology and how to get started. Also included are detailed descriptions of how to prepare tissue appropriately, perform pilot studies and decide on the appropriate sampling strategy, and account for phenomena such as tissue shrinkage. Numerous examples of applications of stereological methods that are applicable to studies of the central system and a wide variety of other tissues are explained. The book is therefore essential reading for neurobiologists and cell biologists interested in generating accurate representations of cell and tissue architecture.