Segmentation of Cell Nuclei from Confocal Microscope Images of Thick Tissue Samples

C. Ortiz de Solorzano; A. Sarti; E. Garcia Rodriguez; A. Jones; D. Sudar; D. Pinkel; J. W. Gray; R. Malladi; S. J. Lockett

Segmentation of Cell Nuclei from Confocal Microscope Images of Thick Tissue Samples

C. Ortiz de Solorzano, A. Sarti, E. Garcia Rodriguez, A. Jones, D. Sudar, D. Pinkel, J. W. Gray, R. Malladi, S. J. Lockett

Research output: Contribution to conference › Paper › peer-review

Abstract

We present a segmentation method for cell nuclei in 3D confocal images of tissue specimens, and discuss some new approaches that could substantially improve its performance. The current method combines automatic segmentation algorithms with graphic visualization and interactive classification to achieve fast and accurate segmentation. However, the edge fidelity is low for some nuclei and other nuclei are so tightly clustered that they can not be segmented. An approach based on curvature-based flow is proposed for improving edge fidelity and an approach based on the Hough transform is proposed for segmenting clusters of nuclei.

Original language	English (US)
Pages	187-190
Number of pages	4
State	Published - 1998
Externally published	Yes
Event	4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4 - Research Triangle Park, NC, United States Duration: Oct 23 1998 → Oct 28 1998

Other

Other	4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4
Country/Territory	United States
City	Research Triangle Park, NC
Period	10/23/98 → 10/28/98

ASJC Scopus subject areas

Computer Science(all)

Cite this

Ortiz de Solorzano, C., Sarti, A., Rodriguez, E. G., Jones, A., Sudar, D., Pinkel, D., Gray, J. W., Malladi, R., & Lockett, S. J. (1998). Segmentation of Cell Nuclei from Confocal Microscope Images of Thick Tissue Samples. 187-190. Paper presented at 4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4, Research Triangle Park, NC, United States.

Segmentation of Cell Nuclei from Confocal Microscope Images of Thick Tissue Samples. / Ortiz de Solorzano, C.; Sarti, A.; Rodriguez, E. Garcia et al.
1998. 187-190 Paper presented at 4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4, Research Triangle Park, NC, United States.

Research output: Contribution to conference › Paper › peer-review

Ortiz de Solorzano, C, Sarti, A, Rodriguez, EG, Jones, A, Sudar, D, Pinkel, D, Gray, JW, Malladi, R & Lockett, SJ 1998, 'Segmentation of Cell Nuclei from Confocal Microscope Images of Thick Tissue Samples', Paper presented at 4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4, Research Triangle Park, NC, United States, 10/23/98 - 10/28/98 pp. 187-190.

Ortiz de Solorzano C, Sarti A, Rodriguez EG, Jones A, Sudar D, Pinkel D et al.. Segmentation of Cell Nuclei from Confocal Microscope Images of Thick Tissue Samples. 1998. Paper presented at 4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4, Research Triangle Park, NC, United States.

Ortiz de Solorzano, C. ; Sarti, A. ; Rodriguez, E. Garcia et al. / Segmentation of Cell Nuclei from Confocal Microscope Images of Thick Tissue Samples. Paper presented at 4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4, Research Triangle Park, NC, United States.4 p.

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abstract = "We present a segmentation method for cell nuclei in 3D confocal images of tissue specimens, and discuss some new approaches that could substantially improve its performance. The current method combines automatic segmentation algorithms with graphic visualization and interactive classification to achieve fast and accurate segmentation. However, the edge fidelity is low for some nuclei and other nuclei are so tightly clustered that they can not be segmented. An approach based on curvature-based flow is proposed for improving edge fidelity and an approach based on the Hough transform is proposed for segmenting clusters of nuclei.",

author = "{Ortiz de Solorzano}, C. and A. Sarti and Rodriguez, {E. Garcia} and A. Jones and D. Sudar and D. Pinkel and Gray, {J. W.} and R. Malladi and Lockett, {S. J.}",

year = "1998",

language = "English (US)",

pages = "187--190",

note = "4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4 ; Conference date: 23-10-1998 Through 28-10-1998",

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T1 - Segmentation of Cell Nuclei from Confocal Microscope Images of Thick Tissue Samples

AU - Ortiz de Solorzano, C.

AU - Sarti, A.

AU - Rodriguez, E. Garcia

AU - Jones, A.

AU - Sudar, D.

AU - Pinkel, D.

AU - Gray, J. W.

AU - Malladi, R.

AU - Lockett, S. J.

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AB - We present a segmentation method for cell nuclei in 3D confocal images of tissue specimens, and discuss some new approaches that could substantially improve its performance. The current method combines automatic segmentation algorithms with graphic visualization and interactive classification to achieve fast and accurate segmentation. However, the edge fidelity is low for some nuclei and other nuclei are so tightly clustered that they can not be segmented. An approach based on curvature-based flow is proposed for improving edge fidelity and an approach based on the Hough transform is proposed for segmenting clusters of nuclei.

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T2 - 4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4

Y2 - 23 October 1998 through 28 October 1998

ER -

Segmentation of Cell Nuclei from Confocal Microscope Images of Thick Tissue Samples

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