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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Leonardo X Espín, Anders J Asp, James K Trevathan, Kip A Ludwig, J Luis Lujan
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/5617351dee4d4832a532559318bb2121
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:5617351dee4d4832a532559318bb2121
record_format dspace
spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle 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