Quantification of linear biological structures has important applications i
n neuroscience; for example, the length of neurotransmitter-specific axonal
innervation or length of dendritic processes within particular brain struc
tures. Until recently, however, there have been practical limitations in th
e application of stereological tools for the unbiased estimation of object
length on tissue sections. The recent development of efficient new approach
es allows for the wider application of theoretically unbiased sampling and
estimation techniques that are devoid of the assumptions and models of earl
ier methods. In this review, we outline the historical background and recen
t advances in the estimation of total length for biological objects on tiss
ue sections, including a practical method to estimate the length of choline
rgic fibers using newly developed methods. These newer methods also take ad
vantage of three-dimensional image datasets and virtual probes, techniques
that may have wider application in quantitative morphometry. (C) 2000 Elsev
ier Science B.V. All rights reserved.