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Comparing analysis methods in functional calcium imaging of the insect brain

Balkenius, Anna and Johansson, Anders J. and Balkenius, Christian (2015). Comparing analysis methods in functional calcium imaging of the insect brain. PloS one. 10 :6 , 1-19
[Research article]

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Official URL: http://dx.doi.org/10.1371/journal.pone.0129614


We investigate four different methods for background estimation in calcium imaging of the insect brain and evaluate their performance on six data sets consisting of data recorded from two sites in two species of moths. The calcium fluorescence decay curve outside the potential response is estimated using either a low-pass filter or constant, linear or polynomial regression, and is subsequently used to calculate the magnitude, latency and duration of the response. The magnitude and variance of the responses that are obtained by the different methods are compared, and, by computing the receiver operating characteristics of a classifier based on response magnitude, we evaluate the ability of each method to detect the stimulus type and conclude that a polynomial approximation of the background gives the overall best result.

Authors/Creators:Balkenius, Anna and Johansson, Anders J. and Balkenius, Christian
Title:Comparing analysis methods in functional calcium imaging of the insect brain
Series Name/Journal:PloS one
Year of publishing :2015
Depositing date:20 January 2016
Page range:1-19
Number of Pages:19
Publisher:Public Library of Science
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Agris subject categories.:X Agricola extesions > X30 Life sciences
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Zoology
Agrovoc terms:image analysis, brain, Insecta, calcium
Keywords:insect brain, calcium imaging
Permanent URL:
Additional ID:
Type of IDID
Web of Science (WoS)000355652200164
ID Code:12967
Faculty:LTV - Fakulteten för landskapsarkitektur, trädgårds- och växtproduktionsvetenskap
Department:(LTJ, LTV) > Department of Plant Protection Biology
Deposited By: SLUpub Connector
Deposited On:20 Jan 2016 15:28
Metadata Last Modified:09 Sep 2020 14:17

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