GAKTpore Data Sets.zip (82.68 MB)
GAKTpore: Stereological Characterisation Methods for Porous Metal Foams in Biomedical Applications- Data
Version 2 2021-03-11, 12:11
Version 1 2020-06-23, 07:39
dataset
posted on 2021-03-11, 12:11 authored by Gareth SheppardGareth Sheppard, Karl Tassenberg, Bogdan Nenchev, Joel Strickland, Ramy Mesalam, Jennifer H. Shepherd, Hugo R. WilliamsIn
this work, a rapid, efficient, and accurate methodology for 2D bulk porous structure
analysis and pore morphology classification is proposed. The algorithm, “GAKTpore”, creates a
morphology map allowing visualisation of spatial feature variation, which
enables optimisation of pore sizes/shapes/ranges/dispersion within any porous
structure. The micrographs used in this study with their data outputted from the GAKTpore algorithm and below. Micrographs are stored as .tiff files and data is outputted and saved as a .CSV file.
Funding
EPSRC Centre for Doctoral Training in Innovative Metal Processing IMPaCT
Engineering and Physical Sciences Research Council
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