2007
DOI: 10.1016/j.biomaterials.2006.11.014
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Non-destructive quantitative 3D analysis for the optimisation of tissue scaffolds

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Cited by 183 publications
(129 citation statements)
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“…Ongoing development of micro-CT techniques is improving qualitative and quantitative analysis of tissue engineering scaffolds. Jones et al (Jones et al, 2007) applied three algorithms to identify pores, interconnects and pore size distribution in bioceramic scaffolds to predict the permeability of the pore network and thus optimize bioreactor conditions for cell seeding. .…”
Section: Challenges In Studying Cell Behaviour On Biomaterials and Comentioning
confidence: 99%
“…Ongoing development of micro-CT techniques is improving qualitative and quantitative analysis of tissue engineering scaffolds. Jones et al (Jones et al, 2007) applied three algorithms to identify pores, interconnects and pore size distribution in bioceramic scaffolds to predict the permeability of the pore network and thus optimize bioreactor conditions for cell seeding. .…”
Section: Challenges In Studying Cell Behaviour On Biomaterials and Comentioning
confidence: 99%
“…For example, simultaneous micro-computed tomography (micro-CT) and micromechanical testing have been used to study the behavior of tissue scaffolds under compression [3], the structural change of a strained nonwoven papermaker felt [28], and the mechanical properties of sandstone [29]; while the permeabilities of sandstones and packed bed columns have been studied by imaging the water in the void space using magnetic resonance imaging (MRI) [1,6]. While micro-CT images the porous medium itself, MRI images the void space within (e.g.…”
Section: Fig1mentioning
confidence: 99%
“…The characterization of porous media is of critical importance in a wide variety of disciplines and applications, including mathematics, soil physics, petroleum engineering, biomedical devices, and materials design [1][2][3]. It is often desired to understand the relation between the structural and the functional properties, e.g., fluid filtration properties, of the porous media.…”
Section: Introductionmentioning
confidence: 99%
“…An analysis method that combines a series of algorithms has been developed. The algorithms are applied in series to the images in three dimensions to identify the pores and the interconnects, and then obtain the pore and interconnect size distributions [22,49,71,72]. Initially, the macropores are identified ( figure 6).…”
Section: (D) Characterization Of Macroporous Networkmentioning
confidence: 99%