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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Measuring contraction propagation and localizing pacemaker cells using high speed video microscopy</title>
<author><name sortKey="Akl, Tony J" sort="Akl, Tony J" uniqKey="Akl T" first="Tony J." last="Akl">Tony J. Akl</name>
<affiliation><nlm:aff id="a1">Texas A&M University, Department of Biomedical Engineering, College Station, Texas 77843</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Nepiyushchikh, Zhanna V" sort="Nepiyushchikh, Zhanna V" uniqKey="Nepiyushchikh Z" first="Zhanna V." last="Nepiyushchikh">Zhanna V. Nepiyushchikh</name>
<affiliation><nlm:aff id="a2">Texas A&M Health Science Center, Department of Systems Biology and Translational Medicine, Temple, Texas 76504</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Gashev, Anatoliy A" sort="Gashev, Anatoliy A" uniqKey="Gashev A" first="Anatoliy A." last="Gashev">Anatoliy A. Gashev</name>
<affiliation><nlm:aff id="a2">Texas A&M Health Science Center, Department of Systems Biology and Translational Medicine, Temple, Texas 76504</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Zawieja, David C" sort="Zawieja, David C" uniqKey="Zawieja D" first="David C." last="Zawieja">David C. Zawieja</name>
<affiliation><nlm:aff id="a2">Texas A&M Health Science Center, Department of Systems Biology and Translational Medicine, Temple, Texas 76504</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Cote, Gerard L" sort="Cote, Gerard L" uniqKey="Cote G" first="Gerard L." last="Coté">Gerard L. Coté</name>
<affiliation><nlm:aff id="a1">Texas A&M University, Department of Biomedical Engineering, College Station, Texas 77843</nlm:aff>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">21361700</idno>
<idno type="pmc">3065345</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3065345</idno>
<idno type="RBID">PMC:3065345</idno>
<idno type="doi">10.1117/1.3544512</idno>
<date when="2011">2011</date>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Measuring contraction propagation and localizing pacemaker cells using high speed video microscopy</title>
<author><name sortKey="Akl, Tony J" sort="Akl, Tony J" uniqKey="Akl T" first="Tony J." last="Akl">Tony J. Akl</name>
<affiliation><nlm:aff id="a1">Texas A&M University, Department of Biomedical Engineering, College Station, Texas 77843</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Nepiyushchikh, Zhanna V" sort="Nepiyushchikh, Zhanna V" uniqKey="Nepiyushchikh Z" first="Zhanna V." last="Nepiyushchikh">Zhanna V. Nepiyushchikh</name>
<affiliation><nlm:aff id="a2">Texas A&M Health Science Center, Department of Systems Biology and Translational Medicine, Temple, Texas 76504</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Gashev, Anatoliy A" sort="Gashev, Anatoliy A" uniqKey="Gashev A" first="Anatoliy A." last="Gashev">Anatoliy A. Gashev</name>
<affiliation><nlm:aff id="a2">Texas A&M Health Science Center, Department of Systems Biology and Translational Medicine, Temple, Texas 76504</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Zawieja, David C" sort="Zawieja, David C" uniqKey="Zawieja D" first="David C." last="Zawieja">David C. Zawieja</name>
<affiliation><nlm:aff id="a2">Texas A&M Health Science Center, Department of Systems Biology and Translational Medicine, Temple, Texas 76504</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Cote, Gerard L" sort="Cote, Gerard L" uniqKey="Cote G" first="Gerard L." last="Coté">Gerard L. Coté</name>
<affiliation><nlm:aff id="a1">Texas A&M University, Department of Biomedical Engineering, College Station, Texas 77843</nlm:aff>
</affiliation>
</author>
</analytic>
<series><title level="j">Journal of Biomedical Optics</title>
<idno type="ISSN">1083-3668</idno>
<idno type="eISSN">1560-2281</idno>
<imprint><date when="2011">2011</date>
</imprint>
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<front><div type="abstract" xml:lang="en"><p>Previous studies have shown the ability of many lymphatic vessels to contract phasically to pump lymph. Every lymphangion can act like a heart with pacemaker sites that initiate the phasic contractions. The contractile wave propagates along the vessel to synchronize the contraction. However, determining the location of the pacemaker sites within these vessels has proven to be very difficult. A high speed video microscopy system with an automated algorithm to detect pacemaker location and calculate the propagation velocity, speed, duration, and frequency of the contractions is presented in this paper. Previous methods for determining the contractile wave propagation velocity manually were time consuming and subject to errors and potential bias. The presented algorithm is semiautomated giving objective results based on predefined criteria with the option of user intervention. The system was first tested on simulation images and then on images acquired from isolated microlymphatic mesenteric vessels. We recorded contraction propagation velocities around 10 mm∕s with a shortening speed of 20.4 to 27.1 μm∕s on average and a contraction frequency of 7.4 to 21.6 contractions∕min. The simulation results showed that the algorithm has no systematic error when compared to manual tracking. The system was used to determine the pacemaker location with a precision of 28 μm when using a frame rate of 300 frames per second.</p>
</div>
</front>
</TEI>
<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">J Biomed Opt</journal-id>
<journal-id journal-id-type="iso-abbrev">J Biomed Opt</journal-id>
<journal-title-group><journal-title>Journal of Biomedical Optics</journal-title>
</journal-title-group>
<issn pub-type="ppub">1083-3668</issn>
<issn pub-type="epub">1560-2281</issn>
<publisher><publisher-name>Society of Photo-Optical Instrumentation Engineers (SPIE)</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">21361700</article-id>
<article-id pub-id-type="pmc">3065345</article-id>
<article-id pub-id-type="publisher-id">042102JBO</article-id>
<article-id pub-id-type="doi">10.1117/1.3544512</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Papers: Imaging</subject>
</subj-group>
</article-categories>
<title-group><article-title>Measuring contraction propagation and localizing pacemaker cells using high speed video microscopy</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Akl</surname>
<given-names>Tony J.</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
<xref ref-type="author-notes" rid="n1">a)</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Nepiyushchikh</surname>
<given-names>Zhanna V.</given-names>
</name>
<xref ref-type="aff" rid="a2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Gashev</surname>
<given-names>Anatoliy A.</given-names>
</name>
<xref ref-type="aff" rid="a2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Zawieja</surname>
<given-names>David C.</given-names>
</name>
<xref ref-type="aff" rid="a2">2</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Coté</surname>
<given-names>Gerard L.</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
</contrib>
<aff id="a1"><label>1</label>
Texas A&M University, Department of Biomedical Engineering, College Station, Texas 77843</aff>
<aff id="a2"><label>2</label>
Texas A&M Health Science Center, Department of Systems Biology and Translational Medicine, Temple, Texas 76504</aff>
</contrib-group>
<author-notes><fn id="n1"><label>a)</label>
<p>Address all correspondence to: Tony Akl, Texas A&M University, Dept. of Biomedical Engineering, 337 Zachry Engineering Center, MS 3120, College Station, Texas 77843. Tel. 979-862-1076; Fax: 979-845-4450; E-mail: <email>takl@tamu.edu</email>
.</p>
</fn>
</author-notes>
<pub-date pub-type="ppub"><month>2</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="epub"><day>24</day>
<month>2</month>
<year>2011</year>
</pub-date>
<volume>16</volume>
<issue>2</issue>
<elocation-id>026016</elocation-id>
<history><date date-type="received"><day>27</day>
<month>4</month>
<year>2010</year>
</date>
<date date-type="rev-recd"><day>30</day>
<month>12</month>
<year>2010</year>
</date>
<date date-type="accepted"><day>03</day>
<month>1</month>
<year>2011</year>
</date>
</history>
<permissions><copyright-statement>Copyright © 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)</copyright-statement>
<copyright-year>2011</copyright-year>
<copyright-holder>Society of Photo-Optical Instrumentation Engineers (SPIE)</copyright-holder>
</permissions>
<abstract><p>Previous studies have shown the ability of many lymphatic vessels to contract phasically to pump lymph. Every lymphangion can act like a heart with pacemaker sites that initiate the phasic contractions. The contractile wave propagates along the vessel to synchronize the contraction. However, determining the location of the pacemaker sites within these vessels has proven to be very difficult. A high speed video microscopy system with an automated algorithm to detect pacemaker location and calculate the propagation velocity, speed, duration, and frequency of the contractions is presented in this paper. Previous methods for determining the contractile wave propagation velocity manually were time consuming and subject to errors and potential bias. The presented algorithm is semiautomated giving objective results based on predefined criteria with the option of user intervention. The system was first tested on simulation images and then on images acquired from isolated microlymphatic mesenteric vessels. We recorded contraction propagation velocities around 10 mm∕s with a shortening speed of 20.4 to 27.1 μm∕s on average and a contraction frequency of 7.4 to 21.6 contractions∕min. The simulation results showed that the algorithm has no systematic error when compared to manual tracking. The system was used to determine the pacemaker location with a precision of 28 μm when using a frame rate of 300 frames per second.</p>
</abstract>
<kwd-group><kwd>contractile wave</kwd>
<kwd>contraction</kwd>
<kwd>lymph</kwd>
<kwd>edge detection</kwd>
<kwd>pacemaker</kwd>
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