Tracking of migrating glioma cells in feature space

Wenjia Bai, Xiaobo Zhou, Jinmin Zhu, Liang Ji, Stephen T. Wong

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

6 Scopus citations

Abstract

A new approach for tracking cell migration by performing tracking task in a blob feature space instead of the original image is proposed. The feature space is obtained through multi-scale blob detection, where we bright modes correspond to cells in the original image. Mode seeking is realized using a mean shift algorithm. Besides cell tracking, the method considers cell disappearing, appearing from the view, cell splitting and merging as well, the events that frequently happen in an image sequence. Results obtained from a real dataset indicate that me method performs well and with an acceptable speed. The method provides a useful tool for tracking cell migration automatically.

Original languageEnglish (US)
Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages272-275
Number of pages4
DOIs
StatePublished - Nov 27 2007
Event2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States
Duration: Apr 12 2007Apr 15 2007

Other

Other2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
CountryUnited States
CityArlington, VA
Period4/12/074/15/07

Keywords

  • Cell tracking
  • Glioma cell migration
  • Mean shift
  • Multiscale feature space

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Medicine(all)

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