Literature DB >> 20426170

Actin filament tracking based on particle filters and stretching open active contour models.

Hongsheng Li1, Tian Shen, Dimitrios Vavylonis, Xiaolei Huang.   

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.

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Year:  2009        PMID: 20426170      PMCID: PMC2888536          DOI: 10.1007/978-3-642-04271-3_82

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  7 in total

1.  Microscopic analysis of polymerization dynamics with individual actin filaments.

Authors:  Ikuko Fujiwara; Shin Takahashi; Hisashi Tadakuma; Takashi Funatsu; Shin'ichi Ishiwata
Journal:  Nat Cell Biol       Date:  2002-09       Impact factor: 28.824

2.  Real-time measurements of actin filament polymerization by total internal reflection fluorescence microscopy.

Authors:  Jeffrey R Kuhn; Thomas D Pollard
Journal:  Biophys J       Date:  2004-11-19       Impact factor: 4.033

3.  Actin polymerization kinetics, cap structure, and fluctuations.

Authors:  Dimitrios Vavylonis; Qingbo Yang; Ben O'Shaughnessy
Journal:  Proc Natl Acad Sci U S A       Date:  2005-06-06       Impact factor: 11.205

4.  Polymerization kinetics of ADP- and ADP-Pi-actin determined by fluorescence microscopy.

Authors:  Ikuko Fujiwara; Dimitrios Vavylonis; Thomas D Pollard
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-15       Impact factor: 11.205

5.  Particle filtering for multiple object tracking in dynamic fluorescence microscopy images: application to microtubule growth analysis.

Authors:  Ihor Smal; Katharina Draegestein; Niels Galjart; Wiro Niessen; Erik Meijering
Journal:  IEEE Trans Med Imaging       Date:  2008-06       Impact factor: 10.048

6.  Motion tracking of the outer tips of microtubules.

Authors:  Stathis Hadjidemetriou; Derek Toomre; James Duncan
Journal:  Med Image Anal       Date:  2008-05-16       Impact factor: 8.545

7.  AUTOMATED ACTIN FILAMENT SEGMENTATION, TRACKING AND TIP ELONGATION MEASUREMENTS BASED ON OPEN ACTIVE CONTOUR MODELS.

Authors:  Hongsheng Li; Tian Shen; Matthew B Smith; Ikuko Fujiwara; Dimitrios Vavylonis; Xiaolei Huang
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2009-06-28
  7 in total
  8 in total

1.  Actin filament segmentation using spatiotemporal active-surface and active-contour models.

Authors:  Hongsheng Li; Tian Shen; Dimitrios Vavylonis; Xiaolei Huang
Journal:  Med Image Comput Comput Assist Interv       Date:  2010

2.  Segmentation and tracking of cytoskeletal filaments using open active contours.

Authors:  Matthew B Smith; Hongsheng Li; Tian Shen; Xiaolei Huang; Eddy Yusuf; Dimitrios Vavylonis
Journal:  Cytoskeleton (Hoboken)       Date:  2010-11

3.  Actin filament segmentation using dynamic programming.

Authors:  Hongsheng Li; Tian Shen; Xiaolei Huang
Journal:  Inf Process Med Imaging       Date:  2011

4.  EXTRACTION AND ANALYSIS OF ACTIN NETWORKS BASED ON OPEN ACTIVE CONTOUR MODELS.

Authors:  Ting Xu; Hongsheng Li; Tian Shen; Nikola Ojkic; Dimitrios Vavylonis; Xiaolei Huang
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2011-03-30

5.  3D actin network centerline extraction with multiple active contours.

Authors:  Ting Xu; Dimitrios Vavylonis; Xiaolei Huang
Journal:  Med Image Anal       Date:  2013-11-16       Impact factor: 8.545

6.  Combining Image Restoration and Traction Force Microscopy to Study Extracellular Matrix-Dependent Keratin Filament Network Plasticity.

Authors:  Sungjun Yoon; Reinhard Windoffer; Aleksandra N Kozyrina; Teodora Piskova; Jacopo Di Russo; Rudolf E Leube
Journal:  Front Cell Dev Biol       Date:  2022-05-11

7.  Inferring biological structures from super-resolution single molecule images using generative models.

Authors:  Suvrajit Maji; Marcel P Bruchez
Journal:  PLoS One       Date:  2012-05-22       Impact factor: 3.240

8.  An integrated enhancement and reconstruction strategy for the quantitative extraction of actin stress fibers from fluorescence micrographs.

Authors:  Zhen Zhang; Shumin Xia; Pakorn Kanchanawong
Journal:  BMC Bioinformatics       Date:  2017-05-22       Impact factor: 3.169

  8 in total

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