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Void Volume Fraction of Granular Scaffolds.
Riley, Lindsay; Wei, Grace; Bao, Yijun; Cheng, Peter; Wilson, Katrina L; Liu, Yining; Gong, Yiyang; Segura, Tatiana.
Afiliação
  • Riley L; Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
  • Wei G; Department of Biology, Duke University, Durham, NC, 27708, USA.
  • Bao Y; Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
  • Cheng P; Ninjabyte Computing, Sunnyvale, CA, 94089, USA.
  • Wilson KL; Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
  • Liu Y; Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
  • Gong Y; Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
  • Segura T; Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
Small ; 19(40): e2303466, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37267936
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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article