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arXiv · 1804.04549

Seed-Point Based Geometric Partitioning of Nuclei Clumps

James Kapaldo
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Abstract

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.

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James Kapaldo. 2018-04-12. Seed-Point Based Geometric Partitioning of Nuclei Clumps. https://arxiv.org/abs/1804.04549

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