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

10 Scopus citations

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

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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