Evidence map›Paper›PMID 28836218›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2017

Methods for Quantifying Fibrillar Collagen Alignment.

Yuming Liu, Adib Keikhosravi, Guneet S Mehta, Cole R Drifka, Kevin W Eliceiri

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
135citing papers in PubMed, 1 pooled it
47.2field-weighted citation impact, top 1% of its field
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

135 citing papers in PubMed, 1 synthesis or guideline pooled it, 213 citations in OpenAlex.

  1. Pooled it
  2. Sulindac, a Nonselective NSAID, Reduces Breast Density in Postmenopausal Women with Breast Cancer Treated with Aromatase Inhibitors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Trial
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  5. Understanding and targeting the tumour matrisome.Nature reviews. Clinical oncology · 2026
    Review
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75 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Yuming LiuLaboratory for Optical and Computational Instrumentation, University of Wisconsin, Madison, WI, USA.
Adib KeikhosraviLaboratory for Optical and Computational Instrumentation, University of Wisconsin, Madison, WI, USA.
Guneet S MehtaLaboratory for Optical and Computational Instrumentation, University of Wisconsin, Madison, WI, USA.
Cole R DrifkaLaboratory for Optical and Computational Instrumentation, University of Wisconsin, Madison, WI, USA.
Kevin W EliceiriLaboratory for Optical and Computational Instrumentation, University of Wisconsin, Madison, WI, USA. eliceiri@wisc.edu.
Optica · USUniversity of Wisconsin–Madison · USMorgridge Institute for Research · US

Funding

Role of Beta-Catenin in Urinary DysfunctionU54DK104310 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI MACOSKA, JILL A., MARKER, PAUL C · 2014 to 2023
$12.8M
Matrix density promotes pro-tumorigenic hormone actions in breast cancerR01CA179556 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI PONIK, SUZANNE MARIE, SCHULER, LINDA A. · 2014 to 2024
$4.9M
NCI NIH HHS R01 CA179556NIDDK NIH HHS U54 DK104310
6 · The paper itself

Abstract

Recent evidence has implicated collagen, particularly fibrillar collagen, in a number of diseases ranging from osteogenesis imperfecta and asthma to breast and ovarian cancer. A key property of collagen that has been correlated with disease has been the alignment of collagen fibers. Collagen can be visualized using a variety of imaging techniques including second-harmonic generation (SHG) microscopy, polarized light microscopy, and staining with dyes or antibodies. However, there exists a great need to easily and robustly quantify images from these modalities for individual fibers in specified regions of interest and with respect to relevant boundaries. Most currently available computational tools rely on calculation of pixel-wise orientation or global window-wise orientation that do not directly calculate or give visible fiber-wise information and do not provide relative orientation against boundaries. We describe and detail how to use a freely available, open-source MATLAB software framework that includes two separate but linked packages "CurveAlign" and "CT-FIRE" that can address this need by either directly extracting individual fibers using an improved fiber tracking algorithm or directly finding optimal representation of fiber edges using the curvelet transform. This curvelet-based framework allows the user to measure fiber alignment on a global, region of interest, and fiber basis. Additionally, users can measure fiber angle relative to manually or automatically segmented boundaries. This tool does not require prior experience of programming or image processing and can handle multiple files, enabling efficient quantification of collagen organization from biological datasets.

Indexed as

Protein MultimerizationFibrillar CollagensImage Processing, Computer-AssistedMicroscopy, PolarizationMolecular ImagingSecond Harmonic Generation MicroscopySoftwareWorkflowFibrillar CollagensCancer imagingCollagen alignmentCollagen organizationCollagen quantificationCurvelet transformExtracellular matrixFiber trackingFibrillar collagenSecond-harmonic generation microscopyTumor-associated collagen signatures

Identifiers

PMID28836218
PMCPMC6343484
OpenAlexW2749355267

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.