Evidence map›Paper›PMID 29061344›Full record

ArticleJournal of neuroscience methods2018

A matched-filter algorithm to detect amperometric spikes resulting from quantal secretion.

Supriya Balaji Ramachandran, Kevin D Gillis

Abstract read
In one paragraph

Article in Journal of neuroscience methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Supriya Balaji RamachandranDepartment of Bioengineering, 254 Agricultural Engineering, Columbia, MO, USA; Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO, USA.
Kevin D GillisDepartment of Bioengineering, 254 Agricultural Engineering, Columbia, MO, USA; Department of Medical Pharmacology and Physiology, 1 Hospital Dr., Columbia, MO, USA; Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO, USA. Electronic address: GillisK@missouri.edu.

Funding

Scalable sensor array platform for analysis of quantal transmitter release eventsR01MH095046 · NIMH · CORNELL UNIVERSITY · PI LINDAU, MANFRED · 2011 to 2014
$1.5M
Development of a prototype system for assaying exocytosis from individual cells using using transparent microelectrode arraysR44MH096650 · NIMH · EXOCYTRONICS, LLC · PI GILLIS, KEVIN D, GU, LI-QUN (ANDREW) · 2015 to 2017
$1.5M
Development of a prototype system for assaying exocytosis from individual cellsR43MH096650 · NIMH · EXOCYTRONICS, LLC · PI GILLIS, KEVIN D, LIU, XIN ALICE · 2011 to 2012
$667k
NIMH NIH HHS R01 MH095046NIMH NIH HHS R43 MH096650NIMH NIH HHS R44 MH096650
6 · The paper itself

Abstract

backgroundElectrochemical microelectrodes located immediately adjacent to the cell surface can detect spikes of amperometric current during exocytosis as the transmitter released from a single vesicle is oxidized on the electrode surface. Automated techniques to detect spikes are needed in order to quantify the spike rate as a measure of the rate of exocytosis. NEW

methodWe have developed a Matched Filter (MF) detection algorithm that scans the data set with a library of prototype spike templates while performing a least-squares fit to determine the amplitude and standard error. The ratio of the fit amplitude to the standard error constitutes a criterion score that is assigned for each time point and for each template. A spike is detected when the criterion score exceeds a threshold and the highest-scoring template and the time of peak score is identified. The search for the next spike commences only after the score falls below a second, lower threshold to reduce false positives. The approach was extended to detect spikes with double-exponential decays with the sum of two templates.

resultsReceiver Operating Characteristic plots (ROCs) demonstrate that the algorithm detects >95% of manually identified spikes with a false-positive rate of ∼2%. COMPARISON WITH EXISTING

methodsROCs demonstrate that the MF algorithm performs better than algorithms that detect spikes based on a derivative-threshold approach.

conclusionsThe MF approach performs well and leads into approaches to identify spike parameters.

Indexed as

Action PotentialsAlgorithmsMicroelectrodesAdrenal GlandsAnimalsCarbonCarbon FiberCattleCells, CulturedChromaffin CellsExocytosisFalse Positive ReactionsLeast-Squares AnalysisMiceNeuronsPattern Recognition, AutomatedCarbonCarbon FiberCarbon-fiber amperometryQuantal exocytosisSignal processingSpike detection

Identifiers

PMID29061344
PMCPMC5705323

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.