Comparative analysis of numerical estimation methods of epithelial nerve fibers using tissue sections

Citation
M. Hilliges et O. Johansson, Comparative analysis of numerical estimation methods of epithelial nerve fibers using tissue sections, J PERIPH N, 4(1), 1999, pp. 53-57
Citations number
8
Categorie Soggetti
Neurosciences & Behavoir
Journal title
JOURNAL OF THE PERIPHERAL NERVOUS SYSTEM
ISSN journal
10859489 → ACNP
Volume
4
Issue
1
Year of publication
1999
Pages
53 - 57
Database
ISI
SICI code
1085-9489(1999)4:1<53:CAONEM>2.0.ZU;2-V
Abstract
The proper assessment of neuron numbers in the nervous system during physio logical and pathological conditions, as well as following various treatment s, has always been an important part of neuroscience. The present paper eva luates three methods for numerical estimates of nerves in epithelium: I) un biased nerve fiber profile and nerve fiber fragment estimation methods, II) the traditional method of counting whole nerve fibers, and III) the nerve fiber estimation method. In addition, an unbiased nerve length estimation m ethod was evaluated. Of these four methods, the nerve length per volume met hod was theoretically optimal, but more time-consuming than the others. The numbers obtained with the methods of nerve fiber profile, nerve fragment a nd nerve fiber estimation are dependent on the thickness of the epithelium and the sections as well as certain shape factors of the counted fiber. How ever for those, the actual counting can readily be performed in the microsc ope and is consequently quick and relatively inexpensive. The statistical a nalysis showed a very good correlation (R > 0.96) between the three numeric al methods, meaning that basically any method could be used. However, depen dent on theoretical and practical considerations and the correlation statis tics, it may be concluded that the nerve fiber profile or fragment estimati on methods should be employed if differences in epithelial and section thic kness and the nerve fibers shape factors can be controlled. Such drawbacks are not inherent in the nerve length estimation method and, thus, it can ge nerally be applied.