Automatic Segmentation of Nuclei in 3d Microscopy Images of C.elegans

@article{Long2007AutomaticSO,
  title={Automatic Segmentation of Nuclei in 3d Microscopy Images of C.elegans},
  author={Fuhui Long and Hanchuan Peng and Eugene W. Myers},
  journal={2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
  year={2007},
  pages={536-539}
}
Automatic segmentation of nuclei in 3D microscopy images is essential for many biological studies including high throughput analysis of gene expression level, morphology, and phenotypes in single cell level. The complexity and variability of the microscopy images present many difficulties to the traditional image segmentation methods. In this paper, we present a new method based on 3D watershed algorithm to segment such images. By using both the intensity information of the image and the… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-8 of 8 references

and R

  • R. C. Gonzalez
  • E. Woods, Digital Image Processing, 2nd ed…
  • 2002
Highly Influential
3 Excerpts

et al, Applying watershed algorithms to the segmentation of clustered nuclei

  • N. Malpic
  • Cytometry, Vol. 28, 287-297,
  • 1997
1 Excerpt

Otsu , Threshold Selection Method from GrayLevel Histograms

  • A. N.
  • IEEE Transactions on Systems , Man , and…
  • 1979

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