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The looks of an odour - Visualising neural odour response patterns in real time

BACKGROUND: Calcium imaging in insects reveals the neural response to odours, both at the receptor level on the antenna and in the antennal lobe, the first stage of olfactory information processing in the brain. Changes of intracellular calcium concentration in response to odour presentations can be...

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Autores principales: Strauch, Martin, Müthing, Clemens, Broeg, Marc P, Szyszka, Paul, Münch, Daniel, Laudes, Thomas, Deussen, Oliver, Galizia, Cosmas Giovanni, Merhof, Dorit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3980292/
https://www.ncbi.nlm.nih.gov/pubmed/24564474
http://dx.doi.org/10.1186/1471-2105-14-S19-S6
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author Strauch, Martin
Müthing, Clemens
Broeg, Marc P
Szyszka, Paul
Münch, Daniel
Laudes, Thomas
Deussen, Oliver
Galizia, Cosmas Giovanni
Merhof, Dorit
author_facet Strauch, Martin
Müthing, Clemens
Broeg, Marc P
Szyszka, Paul
Münch, Daniel
Laudes, Thomas
Deussen, Oliver
Galizia, Cosmas Giovanni
Merhof, Dorit
author_sort Strauch, Martin
collection PubMed
description BACKGROUND: Calcium imaging in insects reveals the neural response to odours, both at the receptor level on the antenna and in the antennal lobe, the first stage of olfactory information processing in the brain. Changes of intracellular calcium concentration in response to odour presentations can be observed by employing calcium-sensitive, fluorescent dyes. The response pattern across all recorded units is characteristic for the odour. METHOD: Previously, extraction of odour response patterns from calcium imaging movies was performed offline, after the experiment. We developed software to extract and to visualise odour response patterns in real time. An adaptive algorithm in combination with an implementation for the graphics processing unit enables fast processing of movie streams. Relying on correlations between pixels in the temporal domain, the calcium imaging movie can be segmented into regions that correspond to the neural units. RESULTS: We applied our software to calcium imaging data recorded from the antennal lobe of the honeybee Apis mellifera and from the antenna of the fruit fly Drosophila melanogaster. Evaluation on reference data showed results comparable to those obtained by previous offline methods while computation time was significantly lower. Demonstrating practical applicability, we employed the software in a real-time experiment, performing segmentation of glomeruli - the functional units of the honeybee antennal lobe - and visualisation of glomerular activity patterns. CONCLUSIONS: Real-time visualisation of odour response patterns expands the experimental repertoire targeted at understanding information processing in the honeybee antennal lobe. In interactive experiments, glomeruli can be selected for manipulation based on their present or past activity, or based on their anatomical position. Apart from supporting neurobiology, the software allows for utilising the insect antenna as a chemosensor, e.g. to detect or to classify odours.
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spelling pubmed-39802922014-04-24 The looks of an odour - Visualising neural odour response patterns in real time Strauch, Martin Müthing, Clemens Broeg, Marc P Szyszka, Paul Münch, Daniel Laudes, Thomas Deussen, Oliver Galizia, Cosmas Giovanni Merhof, Dorit BMC Bioinformatics Research BACKGROUND: Calcium imaging in insects reveals the neural response to odours, both at the receptor level on the antenna and in the antennal lobe, the first stage of olfactory information processing in the brain. Changes of intracellular calcium concentration in response to odour presentations can be observed by employing calcium-sensitive, fluorescent dyes. The response pattern across all recorded units is characteristic for the odour. METHOD: Previously, extraction of odour response patterns from calcium imaging movies was performed offline, after the experiment. We developed software to extract and to visualise odour response patterns in real time. An adaptive algorithm in combination with an implementation for the graphics processing unit enables fast processing of movie streams. Relying on correlations between pixels in the temporal domain, the calcium imaging movie can be segmented into regions that correspond to the neural units. RESULTS: We applied our software to calcium imaging data recorded from the antennal lobe of the honeybee Apis mellifera and from the antenna of the fruit fly Drosophila melanogaster. Evaluation on reference data showed results comparable to those obtained by previous offline methods while computation time was significantly lower. Demonstrating practical applicability, we employed the software in a real-time experiment, performing segmentation of glomeruli - the functional units of the honeybee antennal lobe - and visualisation of glomerular activity patterns. CONCLUSIONS: Real-time visualisation of odour response patterns expands the experimental repertoire targeted at understanding information processing in the honeybee antennal lobe. In interactive experiments, glomeruli can be selected for manipulation based on their present or past activity, or based on their anatomical position. Apart from supporting neurobiology, the software allows for utilising the insect antenna as a chemosensor, e.g. to detect or to classify odours. BioMed Central 2013-11-12 /pmc/articles/PMC3980292/ /pubmed/24564474 http://dx.doi.org/10.1186/1471-2105-14-S19-S6 Text en Copyright © 2013 Strauch et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Strauch, Martin
Müthing, Clemens
Broeg, Marc P
Szyszka, Paul
Münch, Daniel
Laudes, Thomas
Deussen, Oliver
Galizia, Cosmas Giovanni
Merhof, Dorit
The looks of an odour - Visualising neural odour response patterns in real time
title The looks of an odour - Visualising neural odour response patterns in real time
title_full The looks of an odour - Visualising neural odour response patterns in real time
title_fullStr The looks of an odour - Visualising neural odour response patterns in real time
title_full_unstemmed The looks of an odour - Visualising neural odour response patterns in real time
title_short The looks of an odour - Visualising neural odour response patterns in real time
title_sort looks of an odour - visualising neural odour response patterns in real time
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3980292/
https://www.ncbi.nlm.nih.gov/pubmed/24564474
http://dx.doi.org/10.1186/1471-2105-14-S19-S6
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