ArticleScientific reports2019
Automated Tracking of Biopolymer Growth and Network Deformation with TSOAX.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 24 citations in OpenAlex.
- A novel attention mechanism for noise-adaptive and robust segmentation of microtubules in microscopy images.BMC bioinformatics · 2026Article
- Kinesin-Induced Buckling Reveals the Limits of Microtubule Self-Repair.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- GraFT: A robust network-based spatiotemporal analysis of filamentous structures.Science advances · 2026Article
- KnotResolver: tracking self-intersecting filaments in microscopy using directed graphs.Bioinformatics (Oxford, England) · 2024Article
- PCP and Septins govern the polarized organization of the actin cytoskeleton during convergent extension.Current biology : CB · 2024Article
- Confined-microtubule assembly shapes three-dimensional cell wall structures in xylem vessels.Nature communications · 2023Article
- Automatic extraction of actin networks in plants.PLoS computational biology · 2023Article
- FilamentSensor 2.0: An open-source modular toolbox for 2D/3D cytoskeletal filament tracking.PloS one · 2023Article
- Tracing and tracking filamentous structures across scales: A systematic review.Computational and structural biotechnology journal · 2023Review
- Quantitative mapping of keratin networks in 3D.eLife · 2022Article
- Automated and semi-automated enhancement, segmentation and tracing of cytoskeletal networks in microscopic images: A review.Computational and structural biotechnology journal · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
Studies of how individual semi-flexible biopolymers and their network assemblies change over time reveal dynamical and mechanical properties important to the understanding of their function in tissues and living cells. Automatic tracking of biopolymer networks from fluorescence microscopy time-lapse sequences facilitates such quantitative studies. We present an open source software tool that combines a global and local correspondence algorithm to track biopolymer networks in 2D and 3D, using stretching open active contours. We demonstrate its application in fully automated tracking of elongating and intersecting actin filaments, detection of loop formation and constriction of tilted contractile rings in live cells, and tracking of network deformation under shear deformation.
Indexed as
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What OpenQuestion holds
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.