Pore sizes, porosity, and surface area of TPMS-based scaffold
This dataset enabled the researchers to design the tissue engineering scaffold computationally with a specific porosity and pore size by choosing the scaffold pattern (TPMS, or the customized implicit function), ω, and t. The TPMS-based scaffolds were generated from the marching cube algorithm (http...
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creator | Iamsamang, Jirawat |
description | This dataset enabled the researchers to design the tissue engineering scaffold computationally with a specific porosity and pore size by choosing the scaffold pattern (TPMS, or the customized implicit function), ω, and t. The TPMS-based scaffolds were generated from the marching cube algorithm (https://github.com/nodtem66/Scaffolder). The pore sizes (minimum Feret diameter and maximum Feret diameter), porosity (1 -scaffold volume / original volume), and surface area were acquired by the slice contour technique and geometric algorithm. The two parameters: angular frequency (ω) and iso-level (t), were introduce to customize the TPMS functions. |
doi_str_mv | 10.17632/sbxr7xxvnd.3 |
format | Dataset |
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The TPMS-based scaffolds were generated from the marching cube algorithm (https://github.com/nodtem66/Scaffolder). The pore sizes (minimum Feret diameter and maximum Feret diameter), porosity (1 -scaffold volume / original volume), and surface area were acquired by the slice contour technique and geometric algorithm. The two parameters: angular frequency (ω) and iso-level (t), were introduce to customize the TPMS functions.</description><identifier>DOI: 10.17632/sbxr7xxvnd.3</identifier><language>eng</language><publisher>Mendeley</publisher><subject>Pore Size ; Pore Size Distribution ; Porosity ; Surface Area</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0001-5162-3820</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1894</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.17632/sbxr7xxvnd.3$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Iamsamang, Jirawat</creatorcontrib><title>Pore sizes, porosity, and surface area of TPMS-based scaffold</title><description>This dataset enabled the researchers to design the tissue engineering scaffold computationally with a specific porosity and pore size by choosing the scaffold pattern (TPMS, or the customized implicit function), ω, and t. The TPMS-based scaffolds were generated from the marching cube algorithm (https://github.com/nodtem66/Scaffolder). The pore sizes (minimum Feret diameter and maximum Feret diameter), porosity (1 -scaffold volume / original volume), and surface area were acquired by the slice contour technique and geometric algorithm. The two parameters: angular frequency (ω) and iso-level (t), were introduce to customize the TPMS functions.</description><subject>Pore Size</subject><subject>Pore Size Distribution</subject><subject>Porosity</subject><subject>Surface Area</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2021</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNqVjbEKwjAQQLM4iDq63we0tTVgJydRXISC3cO1uUCgNuUuSuvXKyI4O73hPXhKrYs8K8qd3m6kGbkcx0dvMz1X-yowgfgnSQJD4CA-Tglgb0Hu7LAlQCaE4KCuLte0QaG3atG50NmlmjnshFZfLlR6OtaHc2oxYusjmYH9DXkyRW4-e_PbG63_7V-lPkCQ</recordid><startdate>20210308</startdate><enddate>20210308</enddate><creator>Iamsamang, Jirawat</creator><general>Mendeley</general><scope>DYCCY</scope><scope>PQ8</scope><orcidid>https://orcid.org/0000-0001-5162-3820</orcidid></search><sort><creationdate>20210308</creationdate><title>Pore sizes, porosity, and surface area of TPMS-based scaffold</title><author>Iamsamang, Jirawat</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_17632_sbxr7xxvnd_33</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Pore Size</topic><topic>Pore Size Distribution</topic><topic>Porosity</topic><topic>Surface Area</topic><toplevel>online_resources</toplevel><creatorcontrib>Iamsamang, Jirawat</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Iamsamang, Jirawat</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Pore sizes, porosity, and surface area of TPMS-based scaffold</title><date>2021-03-08</date><risdate>2021</risdate><abstract>This dataset enabled the researchers to design the tissue engineering scaffold computationally with a specific porosity and pore size by choosing the scaffold pattern (TPMS, or the customized implicit function), ω, and t. The TPMS-based scaffolds were generated from the marching cube algorithm (https://github.com/nodtem66/Scaffolder). The pore sizes (minimum Feret diameter and maximum Feret diameter), porosity (1 -scaffold volume / original volume), and surface area were acquired by the slice contour technique and geometric algorithm. The two parameters: angular frequency (ω) and iso-level (t), were introduce to customize the TPMS functions.</abstract><pub>Mendeley</pub><doi>10.17632/sbxr7xxvnd.3</doi><orcidid>https://orcid.org/0000-0001-5162-3820</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Pore Size Pore Size Distribution Porosity Surface Area |
title | Pore sizes, porosity, and surface area of TPMS-based scaffold |
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