A Geometric Model for Image Analysis in Cytology

In this chapter, we propose a unified image analysis scheme for 3D computer assisted-cytology. The goal is to accurately extract and classify the shapes of nuclei and cells from confocal microscopy images. We make use of a geometry-driven scheme for preprocessing and analyzing confocal microscopy images. Namely, we build a chain of methods that includes an edge-preserving image smoothing mechanism, an automatic segmentation method, a geometry-driven scheme to regularize the shapes and improve edge fidelity, and an interactive method to split shape clusters and reclassify them. Finally we apply our scheme to segmenting nuclei using nuclear membrane and whole cells using cell-surface related proteins.

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