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
Affiliations:
Department of Computer Science & Engineering, Lehigh University, Bethlehem, PA;Department of Computer Science & Engineering, Lehigh University, Bethlehem, PA;Department of Physics, Lehigh University, Bethlehem, PA;National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD;Department of Physics, Lehigh University, Bethlehem, PA;Department of Computer Science & Engineering, Lehigh University, Bethlehem, PA
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

Citing 2
Cited 6

A Method for Registration of 3-D Shapes

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Edge Detection and Ridge Detection with Automatic Scale Selection

International Journal of Computer Vision

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

MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Deconvolving Active Contours for Fluorescence Microscopy Images

ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Actin filament segmentation using spatiotemporal active- surface and active-contour models

MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Actin filament segmentation using dynamic programming

IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
Free boundary conditions active contours with applications for vision

ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
An evolutionary spline fitting algorithm for identifying filamentous cyanobacteria

Proceedings of the 28th Annual ACM Symposium on Applied Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an automated method for actin filament segmentation and tracking for measuring tip elongation rates in Total Internal Reflection Fluorescence Microscopy (TIRFM) images. The main contributions of the paper are: (i) we use a novel open active contour model for filament segmentation and tracking, which is fast and robust against noise; and (ii) different strategies are proposed to solve the filament intersection problem, which is shown to be the main difficulty in filament tracking. Application to experimental results demonstrated the robustness and effectiveness of this method.