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When applying automatic analysis of fluorescence or histopathological imagesof cells, it is necessary to partition, or de-clump, partially overlapping cellnuclei. In this work, I describe a method of partitioning partially overlappingcell nuclei using a seed-point based geometric partitioning. The geometricpartitioning creates two different types of cuts, cuts between two boundaryvertices and cuts between one boundary vertex and a new vertex introduced tothe 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 2420clumps of nuclei and was found to produced better results than current popularanalysis software.

Seed-Point Based Geometric Partitioning of Nuclei Clumps