Unbiased stereology : a concise guide

書誌事項

Unbiased stereology : a concise guide

Peter R. Mouton

Johns Hopkins University Press, 2011

  • pbk

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注記

Includes bibliographical references and index

収録内容

  • Elias coins a word
  • Solid 3-D objects
  • Regional volume estimation
  • Area estimation by point counting
  • Probe-object intersections
  • Volume by cavalieri-point counting
  • Accuracy and precision
  • From 2-D to 3-D
  • Surface area and length
  • Total object number
  • Rare events
  • Local size estimators
  • Do more less well
  • Uncertainty
  • Computerized stereology systems
  • A survey of tissue
  • Peer review considerations

内容説明・目次

内容説明

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.

目次

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

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