title: Actin filament segmentation using spatiotemporal active-surface and active-contour models.
abstract: We introduce a novel algorithm for actin filament segmentation in a 2D TIRFM image sequence. We treat the 2D time-lapse sequence as a 3D image volume and propose an over-grown active surface model to segment the body of a filament on all slices simultaneously. In order to locate the two ends of the filament on the over-grown surface, a novel 2D spatiotemporal domain is created based on the resulting surface. Two 2D active contour models deform in this domain to locate the two filament ends accurately. Evaluation on TIRFM image sequences with very low SNRs and comparison with a previous method demonstrate the accuracy and robustness of this approach.
authors.affiliation: Department of Computer Science & Engineering, Lehigh University, USA.
authors.forename: Hongsheng
authors.initials: H
authors.lastname: Li
authors.forename: Tian
authors.initials: T
authors.lastname: Shen
authors.forename: Dimitrios
authors.initials: D
authors.lastname: Vavylonis
authors.forename: Xiaolei
authors.initials: X
authors.lastname: Huang
mesh_terms: D008841:Actin Cytoskeleton / Q000648:ultrastructure*; D000465:Algorithms; D003198:Computer Simulation; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008853:Microscopy / Q000379:methods*; D008958:Models, Molecular; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique