Integral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters
Modern techniques for estimating basal levels of electroactive neurotransmitters rely on the measurement of oxidative charges. This requires time integration of oxidation currents at certain intervals. Unfortunately, the selection of integration intervals relies on ad-hoc visual identification of pe...
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| Veröffentlicht in: | PloS one 2021-07, Vol.16 (7), p.e0254594-e0254594 |
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| creator | Espín, Leonardo X Asp, Anders J Trevathan, James K Ludwig, Kip A Lujan, J. Luis |
| description | Modern techniques for estimating basal levels of electroactive neurotransmitters rely on the measurement of oxidative charges. This requires time integration of oxidation currents at certain intervals. Unfortunately, the selection of integration intervals relies on ad-hoc visual identification of peaks on the oxidation currents, which introduces sources of error and precludes the development of automated procedures necessary for analysis and quantification of neurotransmitter levels in large data sets. In an effort to improve charge quantification techniques, here we present novel methods for automatic selection of integration boundaries. Our results show that these methods allow quantification of oxidation reactions both in vitro and in vivo and of multiple analytes in vitro. |
| doi_str_mv | 10.1371/journal.pone.0254594 |
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Luis</creator><contributor>Asplund, Maria</contributor><creatorcontrib>Espín, Leonardo X ; Asp, Anders J ; Trevathan, James K ; Ludwig, Kip A ; Lujan, J. Luis ; Asplund, Maria</creatorcontrib><description>Modern techniques for estimating basal levels of electroactive neurotransmitters rely on the measurement of oxidative charges. This requires time integration of oxidation currents at certain intervals. Unfortunately, the selection of integration intervals relies on ad-hoc visual identification of peaks on the oxidation currents, which introduces sources of error and precludes the development of automated procedures necessary for analysis and quantification of neurotransmitter levels in large data sets. In an effort to improve charge quantification techniques, here we present novel methods for automatic selection of integration boundaries. Our results show that these methods allow quantification of oxidation reactions both in vitro and in vivo and of multiple analytes in vitro.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0254594</identifier><identifier>PMID: 34310610</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Analysis ; Automation ; Biology and Life Sciences ; Data collection ; Dopamine ; Evaluation ; In vivo methods and tests ; Integration ; Intervals ; Medicine and Health Sciences ; Methods ; Neurotransmitters ; Oxidation ; Physical Sciences ; Research and Analysis Methods ; Surgery ; Time integration ; Voltammetry</subject><ispartof>PloS one, 2021-07, Vol.16 (7), p.e0254594-e0254594</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Espín et al. 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Luis</au><au>Asplund, Maria</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters</atitle><jtitle>PloS one</jtitle><date>2021-07-26</date><risdate>2021</risdate><volume>16</volume><issue>7</issue><spage>e0254594</spage><epage>e0254594</epage><pages>e0254594-e0254594</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Modern techniques for estimating basal levels of electroactive neurotransmitters rely on the measurement of oxidative charges. This requires time integration of oxidation currents at certain intervals. Unfortunately, the selection of integration intervals relies on ad-hoc visual identification of peaks on the oxidation currents, which introduces sources of error and precludes the development of automated procedures necessary for analysis and quantification of neurotransmitter levels in large data sets. 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| subjects | Analysis Automation Biology and Life Sciences Data collection Dopamine Evaluation In vivo methods and tests Integration Intervals Medicine and Health Sciences Methods Neurotransmitters Oxidation Physical Sciences Research and Analysis Methods Surgery Time integration Voltammetry |
| title | Integral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters |
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