Evidence map›Paper›PMID 35224287›Full record

ArticleBioactive materials2022

PoreScript: Semi-automated pore size algorithm for scaffold characterization.

Dana Jenkins, Karim Salhadar, Grant Ashby, Anita Mishra, Joy Cheshire, Felipe Beltran, Melissa Grunlan, Sébastien Andrieux, Cosima Stubenrauch, Elizabeth Cosgriff-Hernandez

Abstract read
In one paragraph

Article in Bioactive materials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Guidance on biomaterials for periodontal tissue regeneration: Fabrication methods, materials and biological considerations.Dental materials : official publication of the Academy of Dental Materials · 2025
    Review
  5. Article
  6. Journal of materials chemistry. B · 2023
    Article
  7. 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

10 authors.

Dana JenkinsDepartment of Biomedical Engineering, University of Texas - Austin, Austin, TX, 78712, USA.
Karim SalhadarDepartment of Biomedical Engineering, University of Texas - Austin, Austin, TX, 78712, USA.
Grant AshbyDepartment of Biomedical Engineering, University of Texas - Austin, Austin, TX, 78712, USA.
Anita MishraDepartment of Biomedical Engineering, University of Texas - Austin, Austin, TX, 78712, USA.
Joy CheshireDepartment of Biomedical Engineering, University of Texas - Austin, Austin, TX, 78712, USA.
Felipe BeltranDepartment of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA.
Melissa GrunlanDepartment of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA.
Sébastien AndrieuxUniversité de Strasbourg, CNRS, Institut Charles Sadron UPR22, F-67000, Strasbourg, France.
Cosima StubenrauchInstitut für Physikalische Chemie, Universität Stuttgart, Pfaffenwaldring 55, D-70569, Stuttgart, Germany.
Elizabeth Cosgriff-HernandezDepartment of Biomedical Engineering, University of Texas - Austin, Austin, TX, 78712, USA.

Funding

In situ BMSC Seeding of 3D Printed Scaffolds Using Cell-releasing HydrogelsR21AR076708 · NIAMS · UNIVERSITY OF TEXAS AT AUSTIN · PI COSGRIFF-HERNANDEZ, ELIZABETH MARIE · 2020 to 2021
$356k
NIAMS NIH HHS R21 AR076708
6 · The paper itself

Abstract

The scaffold pore size influences many critical physical aspects of tissue engineering, including tissue infiltration, biodegradation rate, and mechanical properties. Manual measurements of pore sizes from scanning electron micrographs using ImageJ/FIJI are commonly used to characterize scaffolds, but these methods are both time-consuming and subject to user bias. Current semi-automated analysis tools are limited by a lack of accessibility or limited sample size in their verification process. The work here describes the development of a new MATLAB algorithm, PoreScript, to address these limitations. The algorithm was verified using three common scaffold fabrication methods (e.g., salt leaching, gas foaming, emulsion templating) with varying pore sizes and shapes to demonstrate the versatility of this new tool. Our results demonstrate that the pore size characterization using PoreScript is comparable to manual pore size measurements. The PoreScript algorithm was further evaluated to determine the effect of user-input and image parameters (relative image magnification, pixel intensity threshold, and pore structure). Overall, this work validates the accuracy of the PoreScript algorithm across several fabrication methods and provides user-guidance for semi-automated image analysis and increased throughput of scaffold characterization.

Indexed as

MATLAB programPolymer scaffoldsPore size measurementTissue engineering

Identifiers

PMID35224287
PMCPMC8843970

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.