Evidence map›Paper›PMID 37267936›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2023

Void Volume Fraction of Granular Scaffolds.

Lindsay Riley, Grace Wei, Yijun Bao, Peter Cheng, Katrina L Wilson, Yining Liu, Yiyang Gong, Tatiana Segura

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Metrics for studying the porous void space of packed particles.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Article
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  13. 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

8 authors.

Lindsay RileyDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.ORCID https://orcid.org/0009-0003-0503-7136
Grace WeiDepartment of Biology, Duke University, Durham, NC, 27708, USA.
Yijun BaoDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
Peter ChengNinjabyte Computing, Sunnyvale, CA, 94089, USA.
Katrina L WilsonDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
Yining LiuDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
Yiyang GongDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
Tatiana SeguraDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.ORCID https://orcid.org/0000-0003-1569-8686

Funding

VEGF Ligand Presentation and Therapeutic AngiogenesisR01NS079691 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SEGURA, TATIANA · 2012 to 2024
$4.0M
Biomaterials to promote synapse formation after strokeR01NS112940 · NINDS · DUKE UNIVERSITY · PI Tatiana Segura · 2020 to 2026
$3.9M
Engineering Adaptive Immune Responses from Hydrogel Scaffolds to Promote Tissue RegenerationR01AI152568 · NIAID · DUKE UNIVERSITY · PI COLLIER, JOEL H, SEGURA, TATIANA · 2020 to 2024
$3.2M
University Training Program in Biomolecular and Tissue EngineeringT32GM144291 · NIGMS · DUKE UNIVERSITY · PI Charles A. Gersbach, Tatiana Segura · 2022 to 2026
$2.6M
Engineering Injectable Microporous Hydrogels for Brain RepairR01NS094599 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SEGURA, TATIANA · 2016 to 2019
$1.5M
NIAID NIH HHS R01 AI152568NIGMS NIH HHS T32 GM144291NINDS NIH HHS R01 NS079691NINDS NIH HHS R01 NS094599NINDS NIH HHS R01 NS112940
6 · The paper itself

Abstract

Void volume fraction (VVF) is a global measurement frequently used to characterize the void space of granular scaffolds, yet there is no gold standard by which to measure VVF in practice. To study the relationship  between VVF and particles of varying size, form, and composition, a library of 3D simulated scaffolds is used. Results reveal that relative to particle count, VVF is a less predictable metric across replicate scaffolds. Simulated scaffolds are used to explores the relationship between microscope magnification and VVF, and recommendations are offered for optimizing the accuracy of approximating VVF using 2D microscope images. Lastly, VVF of hydrogel granular scaffolds is measured while varying four input parameters: image quality, magnification, analysis software, and intensity threshold. Results show that VVF is highly sensitive to these parameters. Overall, random packing produces variation in VVF among granular scaffolds comprising the same particle populations. Furthermore, while VVF is used to compare the porosity of granular materials within a study, VVF is a less reliable metric across studies that use different input parameters. VVF, a global measurement, cannot describe the dimensions of porosity within granular scaffolds, and the work supports the notion that more descriptors are necessary to sufficiently characterize void space.

Indexed as

biomaterialsgranular scaffoldsmicroscopiesporositiesvoid volume fractions

Identifiers

PMID37267936
PMCPMC10592564

What OpenQuestion holds

Textmetadata
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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.