Evidence map›Paper›PMID 25996921›Full record

ArticlePloS one2015

The filament sensor for near real-time detection of cytoskeletal fiber structures.

Benjamin Eltzner, Carina Wollnik, Carsten Gottschlich, Stephan Huckemann, Florian Rehfeldt

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. LUZP1 regulates the maturation of contractile actomyosin bundles.Cellular and molecular life sciences : CMLS · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Tracing and tracking filamentous structures across scales: A systematic review.Computational and structural biotechnology journal · 2023
    Review
  14. Article
  15. Review
  16. Article
  17. ECM Mechanoregulation in Malignant Pleural Mesothelioma.Frontiers in bioengineering and biotechnology · 2022
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Benjamin EltznerInstitute for Mathematical Stochastics, Georg-August-University, 37077 Göttingen, Germany.
Carina WollnikThird Institute of Physics-Biophysics, Georg-August-University, 37077 Göttingen, Germany.
Carsten GottschlichInstitute for Mathematical Stochastics, Georg-August-University, 37077 Göttingen, Germany.
Stephan HuckemannInstitute for Mathematical Stochastics, Georg-August-University, 37077 Göttingen, Germany.
Florian RehfeldtThird Institute of Physics-Biophysics, Georg-August-University, 37077 Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A reliable extraction of filament data from microscopic images is of high interest in the analysis of acto-myosin structures as early morphological markers in mechanically guided differentiation of human mesenchymal stem cells and the understanding of the underlying fiber arrangement processes. In this paper, we propose the filament sensor (FS), a fast and robust processing sequence which detects and records location, orientation, length, and width for each single filament of an image, and thus allows for the above described analysis. The extraction of these features has previously not been possible with existing methods. We evaluate the performance of the proposed FS in terms of accuracy and speed in comparison to three existing methods with respect to their limited output. Further, we provide a benchmark dataset of real cell images along with filaments manually marked by a human expert as well as simulated benchmark images. The FS clearly outperforms existing methods in terms of computational runtime and filament extraction accuracy. The implementation of the FS and the benchmark database are available as open source.

Indexed as

CytoskeletonGene ExpressionHumansImage Processing, Computer-AssistedMesenchymal Stem CellsMicroscopy, FluorescenceMolecular Imaging

Identifiers

PMID25996921
PMCPMC4440737

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Registered trials

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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.