Evidence map›Paper›PMID 27153826›Full record

ArticleJournal of materials science. Materials in medicine2016

Accurate micro-computed tomography imaging of pore spaces in collagen-based scaffold.

Jan Zidek, Lucy Vojtova, A M Abdel-Mohsen, Jiri Chmelik, Tomas Zikmund, Jana Brtnikova, Roman Jakubicek, Lukas Zubal, Jiri Jan, Jozef Kaiser

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Article in Journal of materials science. Materials in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

10 authors.

Jan ZidekCEITEC-Central European Institute of Technology, Brno University of Technology, Purkynova 123, 61200, Brno, Czech Republic. jan.zidek@ceitec.vutbr.cz.
Lucy VojtovaCEITEC-Central European Institute of Technology, Brno University of Technology, Purkynova 123, 61200, Brno, Czech Republic.
A M Abdel-MohsenCEITEC-Central European Institute of Technology, Brno University of Technology, Purkynova 123, 61200, Brno, Czech Republic.
Jiri ChmelikInstitute of Biomedical Engineering, FEEC, Brno University of Technology, Technicka 12, 61600, Brno, Czech Republic.
Tomas ZikmundCEITEC-Central European Institute of Technology, Brno University of Technology, Purkynova 123, 61200, Brno, Czech Republic.
Jana BrtnikovaCEITEC-Central European Institute of Technology, Brno University of Technology, Purkynova 123, 61200, Brno, Czech Republic.
Roman JakubicekInstitute of Biomedical Engineering, FEEC, Brno University of Technology, Technicka 12, 61600, Brno, Czech Republic.
Lukas ZubalCEITEC-Central European Institute of Technology, Brno University of Technology, Purkynova 123, 61200, Brno, Czech Republic.
Jiri JanInstitute of Biomedical Engineering, FEEC, Brno University of Technology, Technicka 12, 61600, Brno, Czech Republic.
Jozef KaiserCEITEC-Central European Institute of Technology, Brno University of Technology, Purkynova 123, 61200, Brno, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work we have used X-ray micro-computed tomography (μCT) as a method to observe the morphology of 3D porous pure collagen and collagen-composite scaffolds useful in tissue engineering. Two aspects of visualizations were taken into consideration: improvement of the scan and investigation of its sensitivity to the scan parameters. Due to the low material density some parts of collagen scaffolds are invisible in a μCT scan. Therefore, here we present different contrast agents, which increase the contrast of the scanned biopolymeric sample for μCT visualization. The increase of contrast of collagenous scaffolds was performed with ceramic hydroxyapatite microparticles (HAp), silver ions (Ag(+)) and silver nanoparticles (Ag-NPs). Since a relatively small change in imaging parameters (e.g. in 3D volume rendering, threshold value and μCT acquisition conditions) leads to a completely different visualized pattern, we have optimized these parameters to obtain the most realistic picture for visual and qualitative evaluation of the biopolymeric scaffold. Moreover, scaffold images were stereoscopically visualized in order to better see the 3D biopolymer composite scaffold morphology. However, the optimized visualization has some discontinuities in zoomed view, which can be problematic for further analysis of interconnected pores by commonly used numerical methods. Therefore, we applied the locally adaptive method to solve discontinuities issue. The combination of contrast agent and imaging techniques presented in this paper help us to better understand the structure and morphology of the biopolymeric scaffold that is crucial in the design of new biomaterials useful in tissue engineering.

Indexed as

X-Ray MicrotomographyBiocompatible MaterialsCollagenContrast MediaDurapatiteMetal NanoparticlesSilverTissue ScaffoldsBiocompatible MaterialsCollagenContrast MediaDurapatiteSilver

Identifiers

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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.