Background: Cell proliferation is often studied using the incorporation of
bromodeoxyuridine (BrdU). Immunohistochemical staining is then used to dete
ct BrdU in the nucleus. To circumvent the observer bias and labor-intensive
nature of manually counting BrdU-labeled nuclei, an automated topographica
l cell proliferation analysis method is developed.
Methods: Sections stained with fluorescein-labeled anti-BrdU and countersta
ined with To-Pro-3 are scanned using confocal laser scanning microscopy (CL
SM). For every point in the image, the nucleus density of BrdU-labeled nucl
ei and the total nucleus density of the neighborhood of that point are calc
ulated from the BrdU and the To-Pro-3 signal, respectively. The ratio of th
ese densities gives an indication of the amount of cell proliferation at th
at point. The automated measure is validated by comparing it with the ratio
of BrdU-stained nuclei to the total number of nuclei obtained from a manua
l count.
Results: A positive correlation is found between the automated measure and
the ratios calculated from the manual counting (r = 0.86, P < 0.001). Calcu
lating the topographical cell proliferation using the automated method is f
aster and does not suffer from interobserver variability.
Conclusions: Automated topographical cell proliferation analysis is a fast
method to objectively find differences in cell proliferation within a tissu
e. This can be visualized by a topographical map that corresponds to the ti
ssue under study. Cytometry 45:13-18, 2001. (C) 2001 Wiley-Liss, Inc.