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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8312965/ https://www.ncbi.nlm.nih.gov/pubmed/34310610 http://dx.doi.org/10.1371/journal.pone.0254594 |
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author | Espín, Leonardo X. Asp, Anders J. Trevathan, James K. Ludwig, Kip A. Lujan, J. Luis |
author_facet | Espín, Leonardo X. Asp, Anders J. Trevathan, James K. Ludwig, Kip A. Lujan, J. Luis |
author_sort | Espín, Leonardo X. |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8312965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83129652021-07-31 Integral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters Espín, Leonardo X. Asp, Anders J. Trevathan, James K. Ludwig, Kip A. Lujan, J. Luis PLoS One Research Article 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. Public Library of Science 2021-07-26 /pmc/articles/PMC8312965/ /pubmed/34310610 http://dx.doi.org/10.1371/journal.pone.0254594 Text en © 2021 Espín et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Espín, Leonardo X. Asp, Anders J. Trevathan, James K. Ludwig, Kip A. Lujan, J. Luis Integral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters |
title | Integral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters |
title_full | Integral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters |
title_fullStr | Integral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters |
title_full_unstemmed | Integral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters |
title_short | Integral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters |
title_sort | integral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8312965/ https://www.ncbi.nlm.nih.gov/pubmed/34310610 http://dx.doi.org/10.1371/journal.pone.0254594 |
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