ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2010
Actin filament segmentation using spatiotemporal active-surface and active-contour models.
Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Use of artificial neural networks to identify and analyze polymerized actin-based cytoskeletal structures in 3D confocal images.Quantitative biology (Beijing, China) · 2023Article
- Quantitative mapping of keratin networks in 3D.eLife · 2022Article
- Combining Image Restoration and Traction Force Microscopy to Study Extracellular Matrix-Dependent Keratin Filament Network Plasticity.Frontiers in cell and developmental biology · 2022Article
- Automated and semi-automated enhancement, segmentation and tracing of cytoskeletal networks in microscopic images: A review.Computational and structural biotechnology journal · 2021Review
- An integrated enhancement and reconstruction strategy for the quantitative extraction of actin stress fibers from fluorescence micrographs.BMC bioinformatics · 2017Article
- 3D actin network centerline extraction with multiple active contours.Medical image analysis · 2014Article
- Article
- EXTRACTION AND ANALYSIS OF ACTIN NETWORKS BASED ON OPEN ACTIVE CONTOUR MODELS.Proceedings. IEEE International Symposium on Biomedical Imaging · 2011Article
- Actin filament segmentation using dynamic programming.Information processing in medical imaging : proceedings of the ... conference · 2011Article
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Authors and funding
4 authors.
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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.
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Registered trials
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