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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Public Library of Science (PLoS)
2021
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oai:doaj.org-article:5617351dee4d4832a532559318bb21212021-12-02T20:04:51ZIntegral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters.1932-620310.1371/journal.pone.0254594https://doaj.org/article/5617351dee4d4832a532559318bb21212021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254594https://doaj.org/toc/1932-6203Modern 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.Leonardo X EspínAnders J AspJames K TrevathanKip A LudwigJ Luis LujanPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254594 (2021) |
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Medicine R Science Q Leonardo X Espín Anders J Asp James K Trevathan Kip A Ludwig J Luis Lujan Integral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters. |
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 |
article |
author |
Leonardo X Espín Anders J Asp James K Trevathan Kip A Ludwig J Luis Lujan |
author_facet |
Leonardo X Espín Anders J Asp James K Trevathan Kip A Ludwig J Luis Lujan |
author_sort |
Leonardo X Espín |
title |
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_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_sort |
integral methods for automatic quantification of fast-scan-cyclic-voltammetry detected neurotransmitters. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/5617351dee4d4832a532559318bb2121 |
work_keys_str_mv |
AT leonardoxespin integralmethodsforautomaticquantificationoffastscancyclicvoltammetrydetectedneurotransmitters AT andersjasp integralmethodsforautomaticquantificationoffastscancyclicvoltammetrydetectedneurotransmitters AT jamesktrevathan integralmethodsforautomaticquantificationoffastscancyclicvoltammetrydetectedneurotransmitters AT kipaludwig integralmethodsforautomaticquantificationoffastscancyclicvoltammetrydetectedneurotransmitters AT jluislujan integralmethodsforautomaticquantificationoffastscancyclicvoltammetrydetectedneurotransmitters |
_version_ |
1718375541680111616 |