Size-invariant cell nucleus segmentation in 3-D microscopy

Sundaresh Ram, Jeffrey J. Rodríguez, Giovanni Bosco

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

11 Scopus citations

Abstract

Accurate segmentation of 3-D cell nuclei in microscopy images is an essential task in many biological studies. Traditional image segmentation methods are challenged by the complexity and variability of microscope images, so there is a need to improve segmentation accuracy and reliability, as well as the level of automation. In this paper we present a novel automated algorithm for robust segmentation of 3-D cell nuclei using a combination of ideas. Our algorithm includes the following steps: image denoising, binarization, seed detection using the fast radial symmetric transform (FRST), initial segmentation using the random walker algorithm and the 3-D watershed algorithm, and final refinements using 3-D active contours. We show that our algorithm provides improved accuracy compared to existing segmentation algorithms.

Original languageEnglish (US)
Title of host publication2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012, Proceedings
Pages37-40
Number of pages4
DOIs
StatePublished - Jul 2 2012
Event2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012 - Santa Fe, NM, United States
Duration: Apr 22 2012Apr 24 2012

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Other

Other2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012
CountryUnited States
CitySanta Fe, NM
Period4/22/124/24/12

Keywords

  • Active contours
  • random walker algorithm
  • watershed algorithm

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Size-invariant cell nucleus segmentation in 3-D microscopy'. Together they form a unique fingerprint.

Cite this