Evidence map›Paper›PMID 27914265›Full record

ArticleBiomaterials2017

Automated quantification of three-dimensional organization of fiber-like structures in biological tissues.

Zhiyi Liu, Dimitra Pouli, Disha Sood, Aswin Sundarakrishnan, Carrie K Hui Mingalone, Lisa M Arendt, Carlo Alonzo, Kyle P Quinn, Charlotte Kuperwasser, Li Zeng and 3 more

Abstract read
In one paragraph

Article in Biomaterials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
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  6. Advances in wound care · 2026
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  13. Architecture-driven quantitative nanoscopy maps cytoskeleton remodeling.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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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

13 authors.

Zhiyi LiuDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
Dimitra PouliDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
Disha SoodDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
Aswin SundarakrishnanDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
Carrie K Hui MingaloneDepartment of Developmental, Molecular and Chemical Biology, Tufts University School of Medicine, Boston, MA, 02111, USA.
Lisa M ArendtDepartment of Developmental, Molecular and Chemical Biology, Tufts University School of Medicine, Boston, MA, 02111, USA.
Carlo AlonzoDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
Kyle P QuinnDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA; Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, 72701, USA.
Charlotte KuperwasserDepartment of Developmental, Molecular and Chemical Biology, Tufts University School of Medicine, Boston, MA, 02111, USA.
Li ZengDepartment of Developmental, Molecular and Chemical Biology, Tufts University School of Medicine, Boston, MA, 02111, USA.
Thomas SchnelldorferLahey Hospital & Medical Center, Burlington, MA, 01805, USA.
David L KaplanDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
Irene GeorgakoudiDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA. Electronic address: Irene.Georgakoudi@tufts.edu.

Funding

Translational Bioreactors - Engineering Complex TissuesP41EB002520 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI KAPLAN, DAVID L. · 2004 to 2018
$16.7M
Mechanisms of breast cancer associated with obesityR01CA170851 · NCI · TUFTS UNIVERSITY BOSTON · PI KUPERWASSER, CHARLOTTE, SEEWALDT, VICTORIA L. · 2012 to 2015
$2.6M
Functional three dimensional brain-like tissues to study mechanisms of traumatic brain injuryR01NS092847 · NINDS · TUFTS UNIVERSITY MEDFORD · PI KAPLAN, DAVID L. · 2015 to 2019
$1.8M
Non-invasive label-free quantitative imaging for chronic wound characterizationR00EB017723 · NIBIB · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI QUINN, KYLE PATRICK · 2015 to 2017
$745k
The role of Ghrelin in Joint ProtectionF31AR067638 · NIAMS · TUFTS UNIVERSITY BOSTON · PI HUI MINGALONE, CARRIE · 2015 to 2017
$111k
NCI NIH HHS R01 CA170851NIAMS NIH HHS F31 AR067638NIBIB NIH HHS P41 EB002520NIBIB NIH HHS R00 EB017723NINDS NIH HHS R01 NS092847
6 · The paper itself

Abstract

Fiber-like structures are prevalent in biological tissues, yet quantitative approaches to assess their three-dimensional (3D) organization are lacking. We develop 3D directional variance, as a quantitative biomarker of truly 3D fibrillar organization by extending the directional statistics formalism developed for describing circular data distributions (i.e. when 0° and 360° are equivalent) to axial ones (i.e. when 0° and 180° are equivalent). Significant advantages of this analysis include its time efficiency, sensitivity and ability to provide quantitative readouts of organization over different size scales of a given data set. We establish a broad range of applications for this method by characterizing collagen fibers, neuronal axons and fibroblasts in the context of cancer diagnostics, traumatic brain injury and cell-matrix interactions in developing engineered tissues. This method opens possibilities for unraveling in a sensitive, and quantitative manner the organization of essential fiber-like structures in tissues and ultimately its impact on tissue function.

Indexed as

AlgorithmsMachine LearningAxonsElastic TissueFibrillar CollagensHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalReproducibility of ResultsSensitivity and SpecificityFibrillar CollagensCancerCollagen fiberMulti-photon microscopyNeuronal axonThree-dimensional organizationTraumatic brain injury

Identifiers

PMID27914265
PMCPMC5210183

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.