C. elegans cell matching and tracking in a 4D imageing system

Long Chen, Zhongying ZHAO, Hong Yan

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Automatic cell tracking for time-lapse images becomes more and more important for live cell studies because the manual tracking is extremely time consuming. In this paper, we proposed a method for C.elegans cell tracking based on probabilistic relaxation labeling (PRL). The experiment results obtained in this research indicate that our method could track the C.elegans cells with a high accuracy at a very low time resolution. Our method provides an efficient tool for the analysis of high-throughput large C. elegans microscopy image data sets.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages937-941
Number of pages5
ISBN (Electronic)9781467369978
DOIs
Publication statusPublished - 4 Aug 2015
Event40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia
Duration: 19 Apr 201424 Apr 2014

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2015-August
ISSN (Print)1520-6149

Conference

Conference40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Country/TerritoryAustralia
CityBrisbane
Period19/04/1424/04/14

Scopus Subject Areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

User-Defined Keywords

  • C. elegans
  • Cell tracking
  • probabilistic relaxation labeling

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