ArticleProceedings. IEEE International Symposium on Biomedical Imaging2011
EXTRACTION AND ANALYSIS OF ACTIN NETWORKS BASED ON OPEN ACTIVE CONTOUR MODELS.
Article in Proceedings. IEEE International Symposium on Biomedical Imaging, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 28 citations in OpenAlex.
- Automatic extraction of actin networks in plants.PLoS computational biology · 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
- Extracting microtubule networks from superresolution single-molecule localization microscopy data.Molecular biology of the cell · 2017Article
- Localizing and extracting filament distributions from microscopy images.Journal of microscopy · 2015Article
- Quantitative analysis of F-actin redistribution in astrocytoma cells treated with candidate pharmaceuticals.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2014Article
- 3D actin network centerline extraction with multiple active contours.Medical image analysis · 2014Article
- Localizing and extracting filament distributions from microscopy images.Journal of microscopy · 2013Article
- Article
- A systems-biology approach to yeast actin cables.Advances in experimental medicine and biology · 2012Article
- Extraction of Individual Filaments from 2D Confocal Microscopy Images of Flat Cells.IEEE/ACM transactions on computational biology and bioinformaticsArticle
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Network structures formed by actin filaments are present in many kinds of fluorescence microscopy images. In order to quantify the conformations and dynamics of such actin filaments, we propose a fully automated method to extract actin networks from images and analyze network topology. The method handles well intersecting filaments and, to some extent, overlapping filaments. First we automatically initialize a large number of Stretching Open Active Contours (SOACs) from ridge points detected by searching for plus-to-minus sign changes in the gradient map of the image. These initial SOACs then elongate simultaneously along the bright center-lines of filaments by minimizing an energy function. During their evolution, they may merge or stop growing, thus forming a network that represents the topology of the filament ensemble. We further detect junction points in the network and break the SOACs at junctions to obtain "SOAC segments". These segments are then re-grouped using a graph-cut spectral clustering method to represent the configuration of actin filaments. The proposed approach is generally applicable to extracting intersecting curvilinear structures in noisy images. We demonstrate its potential using two kinds of data: (1) actin filaments imaged by Total Internal Reflection Fluorescence Microscopy (TIRFM) in vitro; (2) actin cytoskeleton networks in fission yeast imaged by spinning disk confocal microscopy.
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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.