2015
DOI: 10.1098/rsfs.2014.0097
|View full text |Cite
|
Sign up to set email alerts
|

The inter-sample structural variability of regular tissue-engineered scaffolds significantly affects the micromechanical local cell environment

Abstract: One contribution of 11 to a theme issue 'Multiscale modelling in biomechanics: theoretical, computational and translational challenges'. Rapid prototyping techniques have been widely used in tissue engineering to fabricate scaffolds with controlled architecture. Despite the ability of these techniques to fabricate regular structures, the consistency with which these regular structures are produced throughout the scaffold and from one scaffold to another needs to be quantified. Small variations at the pore leve… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
28
0
1

Year Published

2015
2015
2020
2020

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 54 publications
(30 citation statements)
references
References 30 publications
(39 reference statements)
0
28
0
1
Order By: Relevance
“…Importantly the extensive mechanical characterisation of those scaffolds show the variability encountered from sample to sample and the importance of controlling and characterising parameters such as pore architecture, temperature and strain rate. Data obtained by this study are currently used for the development of computational models aiming to establish the local distribution of stresses and fluid flow [29] within the structure and give a much clearer representation of forces when 3D porous scaffolds undergo external compression. Table 3 SAMPLE TRIPLICATES SHAPIRO TEST LEVENE S TEST ANOVA T-TEST T-TEST VARYING Architecture by µCT highlight  3D PCL responded linearly to compression for strains between 1 and 2.5%.…”
Section: Discussionmentioning
confidence: 99%
“…Importantly the extensive mechanical characterisation of those scaffolds show the variability encountered from sample to sample and the importance of controlling and characterising parameters such as pore architecture, temperature and strain rate. Data obtained by this study are currently used for the development of computational models aiming to establish the local distribution of stresses and fluid flow [29] within the structure and give a much clearer representation of forces when 3D porous scaffolds undergo external compression. Table 3 SAMPLE TRIPLICATES SHAPIRO TEST LEVENE S TEST ANOVA T-TEST T-TEST VARYING Architecture by µCT highlight  3D PCL responded linearly to compression for strains between 1 and 2.5%.…”
Section: Discussionmentioning
confidence: 99%
“…Unfortunately, however, the complex internal structure of the porous scaffolds makes estimation of the required shear stresses via experimental or analytical techniques impractical. Hence, computational fluid dynamics models, based on either idealized pore geometries or actual scaffold images, are commonly utilized.…”
Section: Introductionmentioning
confidence: 99%
“…The latter is the more realistic approach since it is based on the actual microscopic pore structures, which are typically obtained via a 3D scanning technique such as micro‐computed tomography (μCT). Yet, due to the computationally intensive nature of the scaffold reconstructions resulting from such high‐resolution imaging, researchers are forced to resort to implementing approximations . For example, rectangular “representative volume elements” (RVE) are cut from whole scaffolds and implemented in conjunction with various boundary conditions along the artificially created periphery.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Erdemir et al [8] explore the multiscale modelling of articular cartilage from a methodological point of view, considering the resolution of challenges that a large-scale exploration of all regions and all possible loading conditions raises. Campos Marin & Lacroix [9] use a multiscale modelling approach to an interesting tissue engineering problem, emphasizing the translational utility of in silico approaches.…”
mentioning
confidence: 99%