ArticleMedical image analysis2014
3D actin network centerline extraction with multiple active contours.
Article in Medical image analysis, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
25 citing papers in PubMed.
- Global alignment and local curvature of microtubules in mouse fibroblasts are robust against perturbations of vimentin and actin.Soft matter · 2025Article
- Collagen fiber centerline tracking in fibrotic tissue via deep neural networks with variational autoencoder-based synthetic training data generation.Medical image analysis · 2023Article
- Tracing and tracking filamentous structures across scales: A systematic review.Computational and structural biotechnology journal · 2023Review
- Label-free monitoring of spatiotemporal changes in the stem cell cytoskeletons in time-lapse phase-contrast microscopy.Biomedical optics express · 2022Article
- Actin crosslinker competition and sorting drive emergent GUV size-dependent actin network architecture.Communications biology · 2021Article
- Oblique circle method for measuring the curvature and twist of mitotic spindle microtubule bundles.Biophysical journal · 2021Article
- Fascin-induced actin protrusions are suppressed by dendritic networks in giant unilamellar vesicles.Molecular biology of the cell · 2021Article
- Network organisation and the dynamics of tubules in the endoplasmic reticulum.Scientific reports · 2021Article
- Reconstitution of contractile actomyosin rings in vesicles.Nature communications · 2021Article
- Modelling Motility: The Mathematics of Spermatozoa.Frontiers in cell and developmental biology · 2021Review
- Automated and semi-automated enhancement, segmentation and tracing of cytoskeletal networks in microscopic images: A review.Computational and structural biotechnology journal · 2021Review
- Confinement Geometry Tunes Fascin-Actin Bundle Structures and Consequently the Shape of a Lipid Bilayer Vesicle.Frontiers in molecular biosciences · 2020Article
- Automated identification of flagella from videomicroscopy via the medial axis transform.Scientific reports · 2019Article
- Automated Tracking of Biopolymer Growth and Network Deformation with TSOAX.Scientific reports · 2019Article
- Intersection To Overpass: Instance Segmentation On Filamentous Structures With An Orientation-Aware Neural Network And Terminus Pairing Algorithm.Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops · 2019Article
- Revealing and Quantifying the Three-Dimensional Nano- and Microscale Structures in Self-Assembled Cellulose Microfibrils in Dispersions.ACS omega · 2017Article
- An integrated enhancement and reconstruction strategy for the quantitative extraction of actin stress fibers from fluorescence micrographs.BMC bioinformatics · 2017Article
- Extracting microtubule networks from superresolution single-molecule localization microscopy data.Molecular biology of the cell · 2017Article
- Automatic optimal filament segmentation with sub-pixel accuracy using generalized linear models and B-spline level-sets.Medical image analysis · 2016Article
- A Robust Actin Filaments Image Analysis Framework.PLoS computational biology · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Fluorescence microscopy is frequently used to study two and three dimensional network structures formed by cytoskeletal polymer fibers such as actin filaments and actin cables. While these cytoskeletal structures are often dilute enough to allow imaging of individual filaments or bundles of them, quantitative analysis of these images is challenging. To facilitate quantitative, reproducible and objective analysis of the image data, we propose a semi-automated method to extract actin networks and retrieve their topology in 3D. Our method uses multiple Stretching Open Active Contours (SOACs) that are automatically initialized at image intensity ridges and then evolve along the centerlines of filaments in the network. SOACs can merge, stop at junctions, and reconfigure with others to allow smooth crossing at junctions of filaments. The proposed approach is generally applicable to images of curvilinear networks with low SNR. We demonstrate its potential by extracting the centerlines of synthetic meshwork images, actin networks in 2D Total Internal Reflection Fluorescence Microscopy images, and 3D actin cable meshworks of live fission yeast cells imaged by spinning disk confocal microscopy. Quantitative evaluation of the method using synthetic images shows that for images with SNR above 5.0, the average vertex error measured by the distance between our result and ground truth is 1 voxel, and the average Hausdorff distance is below 10 voxels.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.