Infrared light sensors permit rapid recording of wingbeat frequency and bioacoustic species identification of mosquitoes

Abstract Recognition and classification of mosquitoes is a critical component of vector-borne disease management. Vector surveillance, based on wingbeat frequency and other parameters, is becoming increasingly important in the development of automated identification systems, but inconsistent data qu...

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Autores principales:	Dongmin Kim, Terry J. DeBriere, Satish Cherukumalli, Gregory S. White, Nathan D. Burkett-Cadena
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9306f126850b4081bdb49ad7915779ee
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spelling	oai:doaj.org-article:9306f126850b4081bdb49ad7915779ee2021-12-02T15:36:31ZInfrared light sensors permit rapid recording of wingbeat frequency and bioacoustic species identification of mosquitoes10.1038/s41598-021-89644-z2045-2322https://doaj.org/article/9306f126850b4081bdb49ad7915779ee2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89644-zhttps://doaj.org/toc/2045-2322Abstract Recognition and classification of mosquitoes is a critical component of vector-borne disease management. Vector surveillance, based on wingbeat frequency and other parameters, is becoming increasingly important in the development of automated identification systems, but inconsistent data quality and results frequently emerge from different techniques and data processing methods which have not been standardized on wingbeat collection of numerous species. We developed a simple method to detect and record mosquito wingbeat by multi-dimensional optical sensors and collected 21,825 wingbeat files from 29 North American mosquito species. In pairwise comparisons, wingbeat frequency of twenty six species overlapped with at least one other species. No significant differences were observed in wingbeat frequencies between and within individuals of Culex quinquefasciatus over time. This work demonstrates the potential utility of quantifying mosquito wingbeat frequency by infrared light sensors as a component of an automated mosquito identification system. Due to species overlap, wingbeat frequency will need to integrate with other parameters to accurately delineate species in support of efficient mosquito surveillance, an important component of disease intervention.Dongmin KimTerry J. DeBriereSatish CherukumalliGregory S. WhiteNathan D. Burkett-CadenaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dongmin Kim Terry J. DeBriere Satish Cherukumalli Gregory S. White Nathan D. Burkett-Cadena Infrared light sensors permit rapid recording of wingbeat frequency and bioacoustic species identification of mosquitoes
description	Abstract Recognition and classification of mosquitoes is a critical component of vector-borne disease management. Vector surveillance, based on wingbeat frequency and other parameters, is becoming increasingly important in the development of automated identification systems, but inconsistent data quality and results frequently emerge from different techniques and data processing methods which have not been standardized on wingbeat collection of numerous species. We developed a simple method to detect and record mosquito wingbeat by multi-dimensional optical sensors and collected 21,825 wingbeat files from 29 North American mosquito species. In pairwise comparisons, wingbeat frequency of twenty six species overlapped with at least one other species. No significant differences were observed in wingbeat frequencies between and within individuals of Culex quinquefasciatus over time. This work demonstrates the potential utility of quantifying mosquito wingbeat frequency by infrared light sensors as a component of an automated mosquito identification system. Due to species overlap, wingbeat frequency will need to integrate with other parameters to accurately delineate species in support of efficient mosquito surveillance, an important component of disease intervention.
format	article
author	Dongmin Kim Terry J. DeBriere Satish Cherukumalli Gregory S. White Nathan D. Burkett-Cadena
author_facet	Dongmin Kim Terry J. DeBriere Satish Cherukumalli Gregory S. White Nathan D. Burkett-Cadena
author_sort	Dongmin Kim
title	Infrared light sensors permit rapid recording of wingbeat frequency and bioacoustic species identification of mosquitoes
title_short	Infrared light sensors permit rapid recording of wingbeat frequency and bioacoustic species identification of mosquitoes
title_full	Infrared light sensors permit rapid recording of wingbeat frequency and bioacoustic species identification of mosquitoes
title_fullStr	Infrared light sensors permit rapid recording of wingbeat frequency and bioacoustic species identification of mosquitoes
title_full_unstemmed	Infrared light sensors permit rapid recording of wingbeat frequency and bioacoustic species identification of mosquitoes
title_sort	infrared light sensors permit rapid recording of wingbeat frequency and bioacoustic species identification of mosquitoes
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9306f126850b4081bdb49ad7915779ee
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Infrared light sensors permit rapid recording of wingbeat frequency and bioacoustic species identification of mosquitoes

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