Loading…
Automated Image Acquisition of Polymer Blend Morphology in an SEM
Modern semi-crystalline polymers based on olefin chemistry are receiving a lot of attention due to their low cost of manufacture and the ability to tailor properties by controlling polymer morphology. A common technique to visualize polymer morphology is transmission electron microscopy (TEM), with...
Saved in:
Published in: | Microscopy today 2008-05, Vol.16 (3), p.24-27 |
---|---|
Main Authors: | , , , , , , , |
Format: | Magazinearticle |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c1778-d3da53f597f1888907a2090b6524083d27d5e197fd2c7bf5ab8228111cd78e483 |
---|---|
cites | cdi_FETCH-LOGICAL-c1778-d3da53f597f1888907a2090b6524083d27d5e197fd2c7bf5ab8228111cd78e483 |
container_end_page | 27 |
container_issue | 3 |
container_start_page | 24 |
container_title | Microscopy today |
container_volume | 16 |
creator | Todd, Clifford S. Blackson, John Bar, Georg Garcia-Meitin, Eddy Reuschle, David Janus, Michael Darus, Mark Nickles, Annabel |
description | Modern semi-crystalline polymers based on olefin chemistry are receiving a lot of attention due to their low cost of manufacture and the ability to tailor properties by controlling polymer morphology. A common technique to visualize polymer morphology is transmission electron microscopy (TEM), with the use of appropriate contrast-enhancing heavy metal stains. One of the difficulties in obtaining a TEM image is the need to prepare an ultra-thin section. Alternative approaches that do not rely on sectioning, such as AFM and SEM imaging of a prepared block face, have shown some promise for gross morphology characterization (μm-scale) but in most cases lacked the detail that can be observed by TEM. |
doi_str_mv | 10.1017/S1551929500059228 |
format | magazinearticle |
fullrecord | <record><control><sourceid>cambridge_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1017_S1551929500059228</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S1551929500059228</cupid><sourcerecordid>10_1017_S1551929500059228</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1778-d3da53f597f1888907a2090b6524083d27d5e197fd2c7bf5ab8228111cd78e483</originalsourceid><addsrcrecordid>eNp9kEFOwzAQRS0EElHpAdj5AgGPHdf2MlQFKrUCqbCOnNgJrpK42MmitycR3SGxmsWb9zXzEboH8gAExOMBOAdFFSeEcEWpvEIJBU5SxiW7RsmM05nfomWMRzKvZUKusgTl-Tj4Tg_W4G2nG4vz6nt00Q3O99jX-N23584G_NTa3uC9D6cv3_rmjF2PdY8Pm_0duql1G-3yMhfo83nzsX5Nd28v23W-SysQQqaGGc1ZzZWoQUqpiNCUKFKuOM2IZIYKwy1M1NBKlDXXpZweAYDKCGkzyRYIfnOr4GMMti5OwXU6nAsgxVxD8aeGyWEXR3dlcKaxxdGPoZ_u_Mf6AahKXOI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>magazinearticle</recordtype></control><display><type>magazinearticle</type><title>Automated Image Acquisition of Polymer Blend Morphology in an SEM</title><source>Oxford Journals Online</source><source>EZB Electronic Journals Library</source><creator>Todd, Clifford S. ; Blackson, John ; Bar, Georg ; Garcia-Meitin, Eddy ; Reuschle, David ; Janus, Michael ; Darus, Mark ; Nickles, Annabel</creator><creatorcontrib>Todd, Clifford S. ; Blackson, John ; Bar, Georg ; Garcia-Meitin, Eddy ; Reuschle, David ; Janus, Michael ; Darus, Mark ; Nickles, Annabel</creatorcontrib><description>Modern semi-crystalline polymers based on olefin chemistry are receiving a lot of attention due to their low cost of manufacture and the ability to tailor properties by controlling polymer morphology. A common technique to visualize polymer morphology is transmission electron microscopy (TEM), with the use of appropriate contrast-enhancing heavy metal stains. One of the difficulties in obtaining a TEM image is the need to prepare an ultra-thin section. Alternative approaches that do not rely on sectioning, such as AFM and SEM imaging of a prepared block face, have shown some promise for gross morphology characterization (μm-scale) but in most cases lacked the detail that can be observed by TEM.</description><identifier>ISSN: 1551-9295</identifier><identifier>EISSN: 2150-3583</identifier><identifier>DOI: 10.1017/S1551929500059228</identifier><language>eng</language><publisher>New York, USA: Cambridge University Press</publisher><ispartof>Microscopy today, 2008-05, Vol.16 (3), p.24-27</ispartof><rights>Copyright © Microscopy Society of America 2008</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1778-d3da53f597f1888907a2090b6524083d27d5e197fd2c7bf5ab8228111cd78e483</citedby><cites>FETCH-LOGICAL-c1778-d3da53f597f1888907a2090b6524083d27d5e197fd2c7bf5ab8228111cd78e483</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,784,27925</link.rule.ids></links><search><creatorcontrib>Todd, Clifford S.</creatorcontrib><creatorcontrib>Blackson, John</creatorcontrib><creatorcontrib>Bar, Georg</creatorcontrib><creatorcontrib>Garcia-Meitin, Eddy</creatorcontrib><creatorcontrib>Reuschle, David</creatorcontrib><creatorcontrib>Janus, Michael</creatorcontrib><creatorcontrib>Darus, Mark</creatorcontrib><creatorcontrib>Nickles, Annabel</creatorcontrib><title>Automated Image Acquisition of Polymer Blend Morphology in an SEM</title><title>Microscopy today</title><addtitle>Micros. Today</addtitle><description>Modern semi-crystalline polymers based on olefin chemistry are receiving a lot of attention due to their low cost of manufacture and the ability to tailor properties by controlling polymer morphology. A common technique to visualize polymer morphology is transmission electron microscopy (TEM), with the use of appropriate contrast-enhancing heavy metal stains. One of the difficulties in obtaining a TEM image is the need to prepare an ultra-thin section. Alternative approaches that do not rely on sectioning, such as AFM and SEM imaging of a prepared block face, have shown some promise for gross morphology characterization (μm-scale) but in most cases lacked the detail that can be observed by TEM.</description><issn>1551-9295</issn><issn>2150-3583</issn><fulltext>true</fulltext><rsrctype>magazinearticle</rsrctype><creationdate>2008</creationdate><recordtype>magazinearticle</recordtype><recordid>eNp9kEFOwzAQRS0EElHpAdj5AgGPHdf2MlQFKrUCqbCOnNgJrpK42MmitycR3SGxmsWb9zXzEboH8gAExOMBOAdFFSeEcEWpvEIJBU5SxiW7RsmM05nfomWMRzKvZUKusgTl-Tj4Tg_W4G2nG4vz6nt00Q3O99jX-N23584G_NTa3uC9D6cv3_rmjF2PdY8Pm_0duql1G-3yMhfo83nzsX5Nd28v23W-SysQQqaGGc1ZzZWoQUqpiNCUKFKuOM2IZIYKwy1M1NBKlDXXpZweAYDKCGkzyRYIfnOr4GMMti5OwXU6nAsgxVxD8aeGyWEXR3dlcKaxxdGPoZ_u_Mf6AahKXOI</recordid><startdate>200805</startdate><enddate>200805</enddate><creator>Todd, Clifford S.</creator><creator>Blackson, John</creator><creator>Bar, Georg</creator><creator>Garcia-Meitin, Eddy</creator><creator>Reuschle, David</creator><creator>Janus, Michael</creator><creator>Darus, Mark</creator><creator>Nickles, Annabel</creator><general>Cambridge University Press</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>200805</creationdate><title>Automated Image Acquisition of Polymer Blend Morphology in an SEM</title><author>Todd, Clifford S. ; Blackson, John ; Bar, Georg ; Garcia-Meitin, Eddy ; Reuschle, David ; Janus, Michael ; Darus, Mark ; Nickles, Annabel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1778-d3da53f597f1888907a2090b6524083d27d5e197fd2c7bf5ab8228111cd78e483</frbrgroupid><rsrctype>magazinearticle</rsrctype><prefilter>magazinearticle</prefilter><language>eng</language><creationdate>2008</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Todd, Clifford S.</creatorcontrib><creatorcontrib>Blackson, John</creatorcontrib><creatorcontrib>Bar, Georg</creatorcontrib><creatorcontrib>Garcia-Meitin, Eddy</creatorcontrib><creatorcontrib>Reuschle, David</creatorcontrib><creatorcontrib>Janus, Michael</creatorcontrib><creatorcontrib>Darus, Mark</creatorcontrib><creatorcontrib>Nickles, Annabel</creatorcontrib><collection>CrossRef</collection><jtitle>Microscopy today</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Todd, Clifford S.</au><au>Blackson, John</au><au>Bar, Georg</au><au>Garcia-Meitin, Eddy</au><au>Reuschle, David</au><au>Janus, Michael</au><au>Darus, Mark</au><au>Nickles, Annabel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automated Image Acquisition of Polymer Blend Morphology in an SEM</atitle><jtitle>Microscopy today</jtitle><addtitle>Micros. Today</addtitle><date>2008-05</date><risdate>2008</risdate><volume>16</volume><issue>3</issue><spage>24</spage><epage>27</epage><pages>24-27</pages><issn>1551-9295</issn><eissn>2150-3583</eissn><abstract>Modern semi-crystalline polymers based on olefin chemistry are receiving a lot of attention due to their low cost of manufacture and the ability to tailor properties by controlling polymer morphology. A common technique to visualize polymer morphology is transmission electron microscopy (TEM), with the use of appropriate contrast-enhancing heavy metal stains. One of the difficulties in obtaining a TEM image is the need to prepare an ultra-thin section. Alternative approaches that do not rely on sectioning, such as AFM and SEM imaging of a prepared block face, have shown some promise for gross morphology characterization (μm-scale) but in most cases lacked the detail that can be observed by TEM.</abstract><cop>New York, USA</cop><pub>Cambridge University Press</pub><doi>10.1017/S1551929500059228</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1551-9295 |
ispartof | Microscopy today, 2008-05, Vol.16 (3), p.24-27 |
issn | 1551-9295 2150-3583 |
language | eng |
recordid | cdi_crossref_primary_10_1017_S1551929500059228 |
source | Oxford Journals Online; EZB Electronic Journals Library |
title | Automated Image Acquisition of Polymer Blend Morphology in an SEM |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T20%3A27%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-cambridge_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Automated%20Image%20Acquisition%20of%20Polymer%20Blend%20Morphology%20in%20an%20SEM&rft.jtitle=Microscopy%20today&rft.au=Todd,%20Clifford%20S.&rft.date=2008-05&rft.volume=16&rft.issue=3&rft.spage=24&rft.epage=27&rft.pages=24-27&rft.issn=1551-9295&rft.eissn=2150-3583&rft_id=info:doi/10.1017/S1551929500059228&rft_dat=%3Ccambridge_cross%3E10_1017_S1551929500059228%3C/cambridge_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c1778-d3da53f597f1888907a2090b6524083d27d5e197fd2c7bf5ab8228111cd78e483%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_cupid=10_1017_S1551929500059228&rfr_iscdi=true |