GAKTpore: Stereological Characterisation Methods for Porous Foams in Biomedical Applications
Autor: | Bogdan Nenchev, Ramy Mesalam, Jennifer H. Shepherd, Joel Strickland, HR Williams, Karl Tassenberg, Gareth Sheppard |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Scaffold
Materials science pore analysis 02 engineering and technology scaffold lcsh:Technology Article 03 medical and health sciences Sem micrographs Tissue engineering Homogeneity (physics) General Materials Science Porosity Shape factor 2D biomaterials lcsh:Microscopy space holders 030304 developmental biology lcsh:QC120-168.85 0303 health sciences Waviness lcsh:QH201-278.5 lcsh:T 021001 nanoscience & nanotechnology metal foams homogeneity lcsh:TA1-2040 tissue engineering lcsh:Descriptive and experimental mechanics lcsh:Electrical engineering. Electronics. Nuclear engineering 0210 nano-technology Porous medium lcsh:Engineering (General). Civil engineering (General) porous materials lcsh:TK1-9971 Biomedical engineering |
Zdroj: | Materials, Vol 14, Iss 1269, p 1269 (2021) Materials Volume 14 Issue 5 |
ISSN: | 1996-1944 |
Popis: | In tissue engineering, scaffolds are a key component that possess a highly elaborate pore structure. Careful characterisation of such porous structures enables the prediction of a variety of large-scale biological responses. In this work, a rapid, efficient, and accurate methodology for 2D bulk porous structure analysis is proposed. The algorithm, “GAKTpore”, creates a morphology map allowing quantification and visualisation of spatial feature variation. The software achieves 99.6% and 99.1% mean accuracy for pore diameter and shape factor identification, respectively. There are two main algorithm novelties within this work: (1) feature-dependant homogeneity map (2) a new waviness function providing insights into the convexity/concavity of pores, important for understanding the influence on cell adhesion and proliferation. The algorithm is applied to foam structures, providing a full characterisation of a 10 mm diameter SEM micrograph (14,784 × 14,915 px) with 190,249 pores in ~9 min and has elucidated new insights into collagen scaffold formation by relating microstructural formation to the bulk formation environment. This novel porosity characterisation algorithm demonstrates its versatility, where accuracy, repeatability, and time are paramount. Thus, GAKTpore offers enormous potential to optimise and enhance scaffolds within tissue engineering. |
Databáze: | OpenAIRE |
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