Quantitative microscopical methods for the identification and localisation of nerves and neuroendocrine cell markers in mammalian lung.

The lung contains a dense innervation and a population of endocrinelike cells both of which are believed to have a role in pulmonary function and to be involved in disease processes. They contain a number of regulatory peptides that affect vascular and bronchial tone, growth and repair. They can be detected and localised by immunocytochemistry, thereby allowing investigation of the normal distribution and changes in disease processes. The application of image analysis has added greatly to the amount of information that can be obtained from such morphological studies. Data can be obtained on either the overall distribution and amount of the antigen in a tissue, thereby allowing comparisons between normal and disease states, or following experimental manipulation. Furthermore, the actual intracellular level can be assessed, which adds the previously unattained dimension of comparisons between cells. Thus the density of innervation in the specific regions of the lung tissue, either total nerves or specific peptide-containing cells, may be estimated and used to show release of a peptide or to determine changes in the nerve density in disease. Image processing and image analysis have reduced the labour-intensive manual input required to perform such studies. The continuing development of digital image processing and computer technology will increase the application of these methods in lung research of normal and pathological material.