Teased nerve fibers are used widely in both clinical and experimental neuro
pathology, but anecdotal evidence indicates that even experienced readers f
ind little agreement on categories for teased fiber classification. To deve
lop a classification scheme that could be used and understood by both exper
ienced and naive readers, specific criteria were developed for normal fiber
s and those exhibiting Wallerian degeneration, demyelination, hypomyelinati
on, remyelination, and abnormal paranodal myelination. Twenty fibers teased
from human sural nerve biopsies were selected as examples of one or more o
f these categories. Ten readers, including seven having no previous experie
nce with teased fibers, were given a set of instructions and asked to score
each fiber for all matching categories. These readers averaged high rates
of true positive (56-85%) classifications, while average false positive (3-
18%) rates were much lower. Among the three experienced readers, true posit
ive agreements averaged between 75 and 100% across the fiber classification
s. False positives were correspondingly low, ranging between 0 and 8%. Thes
e results suggest that it is possible to design an easily learned, meaningf
ul scheme for classifying teased nerve fibers.