Unbiased Stereology

A Concise Guide
Erscheinungsjahr 2011
ISBN: 978-0-8018-9985-0
Verlag: Johns Hopkins University Press

Buch, Englisch, 200 Seiten, Format (B × H): 146 mm x 224 mm, Gewicht: 274 g

This update to Peter R. Mouton’s pioneering work provides bioscientists with the concepts needed in order to apply the principles and practices of unbiased stereology to research involving biological tissues.

Mouton starts with a brief explanation of the history and theory of the process before defining the terms, concepts, and tools of unbiased stereological procedures. He compares and contrasts the procedures with less-exacting approaches to quantitative analysis of biological structure using specific examples from biomedical literature. The book incorporates existing best practices with new methodologies, such as the Rare Event Protocol, while simplifying the dense, often difficult literature on the subject to show the utility and importance of unbiased stereology. This clear, insightful guide goes a step further than other books on this subject by demonstrating not only how to use unbiased stereology but also how to interpret and present the results.

Written by the official U.S. representative to the International Society for Stereology, this is the most complete, up-to-date resource on the science of unbiased stereology. Those new to bioscience research as well as experienced practitioners will find that Mouton’s explanations are the perfect companion for stereology courses and workshops.

Autoren/Hrsg.

Mouton, Peter R

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

Preface
1. Elias Coins A Word
2. Solid 3D Objects
3. Regional Volume Estimation
4. Area Estimation by Point Counting
5. Probe Object Intersections
6. Volume by Cavalieri Point Counting
7. Accuracy and Precision
8. From 2D to 3D
9. Surface Area and Length
10. Total Object Number
11. Rare Events
12. Local Size Estimators
13. Do More, Less Well
14. Uncertainty
15. Computerized Stereology Systems
16. A Survey of Tissue
17. Peer Review Considerations
Appendix: Conceptual Framework for Organic Stereology
Glossary
Bibliography
Index

Über Autor(innen)

Mouton, Peter R
Peter R. Mouton is the director and chief executive officer of the Stereology Resource Center, Inc., a professor of stereology at the University of South Florida School of Medicine, and the author of Principles and Practices of Unbiased Stereology: An Introduction for Bioscientists, also published by Johns Hopkins. Through stereology workshops and short courses in North America, Europe, and Australia, he has trained thousands of biomedical researchers in the application of unbiased stereology.