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Actin Filament Tracking Based on Particle Filters and Stretching Open Active Contour Models

  • Hongsheng Li
  • Tian Shen
  • Dimitrios Vavylonis
  • Xiaolei Huang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5762)

Abstract

We introduce a novel algorithm for actin filament tracking and elongation measurement. Particle Filters (PF) and Stretching Open Active Contours (SOAC) work cooperatively to simplify the modeling of PF in a one-dimensional state space while naturally integrating filament body constraints to tip estimation. Our algorithm reduces the PF state spaces to one-dimensional spaces by tracking filament bodies using SOAC and probabilistically estimating tip locations along the curve length of SOACs. Experimental evaluation on TIRFM image sequences with very low SNRs demonstrates the accuracy and robustness of this approach.

Keywords

Actin Filament Particle Filter Active Contour Iterative Close Point Iterative Close Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hongsheng Li
    • 1
  • Tian Shen
    • 1
  • Dimitrios Vavylonis
    • 2
  • Xiaolei Huang
    • 1
  1. 1.Department of Computer Science & EngineeringLehigh UniversityUSA
  2. 2.Department of PhysicsLehigh UniversityUSA

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