Michael J. Moore is a coauthor of the 2004 quantitative study of interconnectivity in porous biodegradable scaffolds. The primary institutional publication record verifies his full given name and the paper’s use of micro-computed tomography to assess scaffold architecture.[ref]
Quantitative analysis of interconnectivity of porous biodegradable scaffolds with micro-computed tomography by Michael J. Moore and others. University publication record and primary indexed abstract
The scientific problem is that porosity alone does not determine access through a tissue-engineering scaffold. Isolated cavities and a connected channel can contribute the same void volume while supporting very different transport. A three-dimensional image allows the solid and void regions to be segmented and their communicating pathways examined. The analysis therefore connects imaging to a property relevant to tissue engineering, rather than treating an image as only a visual illustration.
For an illustrative segmentation, suppose 36 of 40 units of void volume are connected to the chosen exterior boundary. The accessible fraction is . If a different image threshold gives 39 connected units out of 44 void units, the result is about . Neither number is a result from Moore’s paper; they show why reporting the threshold, image resolution and boundary definition is part of interpreting a connectivity measurement. A flow experiment supplies complementary evidence about the resulting intrinsic permeability.
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