Joint Tracking of Cell Morphology and Motion

  • Jierong Cheng
  • Esther G. L. Koh
  • Sohail Ahmed
  • Jagath C. Rajapakse
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5780)


A new method is proposed for joint tracking of cell morphology and motion from 3D temporal cellular images. We adopt the framework of region-based active contours for segmentation, which is able to cope with objects having blurred boundaries. Motion estimation is performed by optical flow to increase the robustness and accuracy. Cell morphology and motion are modelled via a unified energy formulation and estimated iteratively searching for the minimum energy configuration. Experiments are carried out on synthetic and real cellular images to demonstrate the performance of the method.


Cell segmentation tracking motion estimation optical flow active contours level sets 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jierong Cheng
    • 1
    • 2
  • Esther G. L. Koh
    • 3
  • Sohail Ahmed
    • 3
  • Jagath C. Rajapakse
    • 1
    • 2
    • 4
  1. 1.BioInformatics Research Center and School of Computer EngineeringNanyang Technological UniversitySingapore
  2. 2.Singapore-MIT AllianceSingapore
  3. 3.Institute of Medical BiologySingapore
  4. 4.Department of Biological EngineeringMassachusetts Institute of TechnologyUSA

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