  When applying automatic analysis of fluorescence or histopathological images
of cells, it is necessary to partition, or de-clump, partially overlapping cell
nuclei. In this work, I describe a method of partitioning partially overlapping
cell nuclei using a seed-point based geometric partitioning. The geometric
partitioning creates two different types of cuts, cuts between two boundary
vertices and cuts between one boundary vertex and a new vertex introduced to
the boundary interior. The cuts are then ranked according to a scoring metric,
and the highest scoring cuts are used. This method was tested on a set of 2420
clumps of nuclei and was found to produced better results than current popular
analysis software.
