An iterative approach to nucleus segmentation for high content imaging in cancer research

Ashley B. Tarokh, Kuang Yu Liu, Xiaobo Zhou, Stephen T. Wong

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

1 Scopus citations

Abstract

We present an iterative technique for nucleus segmentation in high throughput RNA interference (RNAi) screening. This technique acts as a crucial processing step towards cell segmentation and feature extraction. Our data comes from three-channel RNAi cell images, with the nucleus information contained in a single DNA channel. Accurate segmentation of the nucleus information provides valuable prior information regarding cell counts and cell positioning, and is thus a valuable prior toward the overall goal of phenotype recognition and detection. Our iterative technique takes direct advantage of image gradient information to obtain accurate nucleus segmentations. It is particularly effective in separating nuclei that are very closely spaced, that thresholding cannot accurately segment.

Original languageEnglish (US)
Title of host publication2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006
DOIs
StatePublished - Dec 1 2006
Event2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006 - Bethesda, MD, United States
Duration: Jul 13 2006Jul 14 2006

Other

Other2006 IEEE/NLM Life Science Systems and Applications Workshop, LiSA 2006
CountryUnited States
CityBethesda, MD
Period7/13/067/14/06

ASJC Scopus subject areas

  • Health(social science)
  • Assessment and Diagnosis
  • Medicine(all)
  • Health Information Management
  • Electrical and Electronic Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Signal Processing

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