Subcellular particles tracking in time-lapse confocal microscopy images

Shuo Li, Kate Luby-Phelps, Baoju Zhang, Xiaorong Wu, Jean Gao

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

Abstract

Automatically tracking and analyzing the mobility of live subcellular structures will expedite the understanding of signaling pathways, protein-protein interaction, drug delivery, protein synthesis and functionality. Traditional computer vision tracking methods produce yet-to-be-satisfactory results due to the complexity of the particles recorded in spatial-temporal video sequences from confocal images. The difficulties arise from diverse modalities of motion patterns (translational, Brownian, or sessile), changes in behavior during tracking, and cluttered background. In this paper, we present an effective framework to detect and track subcullular particles in different motion modalities. The methodology begins with a Divergence Filter design for motion modality detection. After that, an improved a trous wavelet is presented for segmenting particles. Represented by Euclidean Distance Map which contains information on object position, size, and intensity, the multiple particle tracking is carried out by solving a linear assignment problem. The proposed framework can also simultaneously evaluate particle population change by automatically counting the number of newly appeared or disappeared particles in time space.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Pages5973-5976
Number of pages4
DOIs
StatePublished - 2011
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: Aug 30 2011Sep 3 2011

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
CountryUnited States
CityBoston, MA
Period8/30/119/3/11

Keywords

  • confocal microscopy
  • Divergence Filter
  • particle detecting
  • subcellular structure
  • tracking

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

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  • Cite this

    Li, S., Luby-Phelps, K., Zhang, B., Wu, X., & Gao, J. (2011). Subcellular particles tracking in time-lapse confocal microscopy images. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 5973-5976). [6091476] https://doi.org/10.1109/IEMBS.2011.6091476