A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks.

@article{Lin2003AH3,
  title={A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks.},
  author={Gang Lin and U. Adiga and Kathy M Olson and John F. Guzowski and Carol A. Barnes and Badrinath Roysam},
  journal={Cytometry. Part A : the journal of the International Society for Analytical Cytology},
  year={2003},
  volume={56 1},
  pages={23-36}
}
BACKGROUND Automated segmentation of fluorescently-labeled cell nuclei in 3D confocal microscope images is essential to many studies involving morphological and functional analysis. A common source of segmentation error is tight clustering of nuclei. There is a compelling need to minimize these errors for constructing highly automated scoring systems. METHODS A combination of two approaches is presented. First, an improved distance transform combining intensity gradients and geometric… CONTINUE READING
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