Nuclei segmentation of fluorescence microscopy images based on midpoint analysis and marked point process

Neeraj J. Gadgil, Paul Salama, Kenneth Dunn, Edward J. Delp

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Microscope image analysis is challenging because of non-uniform brightness, decreasing image contrast with tissue depth, poor edge details and irregular and unknown structures. In this paper, we present a nuclei segmentation and counting method using midpoint analysis, shape-based function optimization and a MPP simulation with a spatial birth-death process. Preliminary results demonstrate efficacy of the proposed method.

Original languageEnglish (US)
Title of host publication2016 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages37-40
Number of pages4
Volume2016-April
ISBN (Electronic)9781467399197
DOIs
StatePublished - Apr 25 2016
EventIEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Santa Fe, United States
Duration: Mar 6 2016Mar 8 2016

Other

OtherIEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016
CountryUnited States
CitySanta Fe
Period3/6/163/8/16

Fingerprint

Fluorescence microscopy
Image analysis
Luminance
Microscopes
Tissue

Keywords

  • biomedical image segmentation
  • fluorescence microscopy
  • marked point process

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this

Gadgil, N. J., Salama, P., Dunn, K., & Delp, E. J. (2016). Nuclei segmentation of fluorescence microscopy images based on midpoint analysis and marked point process. In 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Proceedings (Vol. 2016-April, pp. 37-40). [7459169] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSIAI.2016.7459169

Nuclei segmentation of fluorescence microscopy images based on midpoint analysis and marked point process. / Gadgil, Neeraj J.; Salama, Paul; Dunn, Kenneth; Delp, Edward J.

2016 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Proceedings. Vol. 2016-April Institute of Electrical and Electronics Engineers Inc., 2016. p. 37-40 7459169.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gadgil, NJ, Salama, P, Dunn, K & Delp, EJ 2016, Nuclei segmentation of fluorescence microscopy images based on midpoint analysis and marked point process. in 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Proceedings. vol. 2016-April, 7459169, Institute of Electrical and Electronics Engineers Inc., pp. 37-40, IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016, Santa Fe, United States, 3/6/16. https://doi.org/10.1109/SSIAI.2016.7459169
Gadgil NJ, Salama P, Dunn K, Delp EJ. Nuclei segmentation of fluorescence microscopy images based on midpoint analysis and marked point process. In 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Proceedings. Vol. 2016-April. Institute of Electrical and Electronics Engineers Inc. 2016. p. 37-40. 7459169 https://doi.org/10.1109/SSIAI.2016.7459169
Gadgil, Neeraj J. ; Salama, Paul ; Dunn, Kenneth ; Delp, Edward J. / Nuclei segmentation of fluorescence microscopy images based on midpoint analysis and marked point process. 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Proceedings. Vol. 2016-April Institute of Electrical and Electronics Engineers Inc., 2016. pp. 37-40
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