Quantitative microscopy of the lung: a problem-based approach. Part 1: basic principles of lung stereology

Am J Physiol Lung Cell Mol Physiol. 2013 Jul 1;305(1):L15-22. doi: 10.1152/ajplung.00429.2012. Epub 2013 Apr 26.

Abstract

The growing awareness of the importance of accurate morphometry in lung research has recently motivated the publication of guidelines set forth by a combined task force of the American Thoracic Society and the European Respiratory Society (20). This official ATS/ERS Research Policy Statement provides general recommendations on which stereological methods are to be used in quantitative microscopy of the lung. However, to integrate stereology into a particular experimental study design, investigators are left with the problem of how to implement this in practice. Specifically, different animal models of human lung disease require the use of different stereological techniques and may determine the mode of lung fixation, tissue processing, preparation of sections, and other things. Therefore, the present companion articles were designed to allow a short practically oriented introduction into the concepts of design-based stereology (Part 1) and to provide recommendations for choosing the most appropriate methods to investigate a number of important disease models (Part 2). Worked examples with illustrative images will facilitate the practical performance of equivalent analyses. Study algorithms provide comprehensive surveys to ensure that no essential step gets lost during the multistage workflow. Thus, with this review, we hope to close the gap between theory and practice and enhance the use of stereological techniques in pulmonary research.

Keywords: design-based stereology; microscopy; quantitative morphology.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Algorithms
  • Animals
  • Humans
  • Imaging, Three-Dimensional
  • Lung / cytology
  • Lung / ultrastructure*
  • Lung Diseases / pathology*
  • Microscopy
  • Problem-Based Learning / methods*
  • Research Design / standards*