Segmenting individual cell nuclei from microscope images normally involves
volume labelling of the nuclei with a DNA stain. However, this method often
fails when the nuclei are tightly clustered in the tissue, because there i
s little evidence from the images on where the borders of the nuclei are. I
n this paper we present a method which solves this limitation and furthermo
re enables segmentation of whole cells. Instead of using volume stains, we
used stains that specifically label the surface of nuclei or cells: lamins
for the nuclear envelope and alpha-6 or beta-1 integrins for the cellular s
urface. The segmentation is performed by identifying unique seeds for each
nucleus/cell and expanding the boundaries of the seeds until they reach the
limits of the nucleus/cell, as delimited by the lamin or integrin staining
, using gradient-curvature flow techniques. We tested the algorithm using c
omputer-generated objects to evaluate its robustness against noise and appl
ied it to cells in culture and to tissue specimens. In all the cases that w
e present the algorithm gave accurate results.