Abstract

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.

Keywords

insect brain, calcium imaging

Published in

PLoS ONE
2015, Volume: 10, number: 6, article number: e0129614
Publisher: PUBLIC LIBRARY SCIENCE

SLU Authors

• Balkenius, Anna

  • Department of Plant Protection Biology, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Zoology


Publication identifier

DOI: https://doi.org/10.1371/journal.pone.0129614

Permanent link to this page (URI)

https://res.slu.se/id/publ/69289