Literature DB >> 29508537

Multiband modulation spectroscopy for the determination of sex and species of mosquitoes in flight.

Alem Gebru1,2,3, Samuel Jansson2,3, Rickard Ignell4, Carsten Kirkeby1,5, Jord C Prangsma1, Mikkel Brydegaard1,2,3,6.   

Abstract

We present a dual-wavelength polarimetric measurement method to distinguish species and sexes of disease transmitting mosquitoes in flight. By measuring co- and de-polarized backscattered light at 808 and 1550 nm, the degree of linear polarization, wingbeat frequency, reflectance, spectral ratio and glossiness of mosquitoes can be retrieved. Body and wing contributions to these signals can be separated. Whereas the optical cross section is sensitive to the aspect of observation, thus the heading direction of the insect in flight, we demonstrate that polarimetric- and spectral-band ratios are largely invariant to the aspect of observation. We show that wing glossiness, as well as wing- and body-spectral ratios are particularly efficient in distinguishing Anopheles coluzzii and Anopheles arabiensis, 2 closely related species of malaria vectors. Spectral and polarimetric ratios relate to microstructural and melanization features of the wing and body of these species. We conclude that multiband modulation spectroscopy is a useful expansion of the parameter space that can be used to improve the specificity of entomological lidars.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  disease vectors; entomological lidar; modulation spectroscopy; species classification; wing interference patterns

Mesh:

Year:  2018        PMID: 29508537     DOI: 10.1002/jbio.201800014

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  12 in total

1.  Analysis of predictor variables for mosquito species identification from dual-wavelength polarization-sensitive lidar measurements.

Authors:  Adrien P Genoud; Roman Basistyy; Gregory M Williams; Benjamin P Thomas
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-10-24

2.  Identification of gravid mosquitoes from changes in spectral and polarimetric backscatter cross sections.

Authors:  Adrien P Genoud; Yunpeng Gao; Gregory M Williams; Benjamin P Thomas
Journal:  J Biophotonics       Date:  2019-07-15       Impact factor: 3.207

3.  Lidar reveals activity anomaly of malaria vectors during pan-African eclipse.

Authors:  Mikkel Brydegaard; Samuel Jansson; Elin Malmqvist; Yeromin P Mlacha; Alem Gebru; Fredros Okumu; Gerry F Killeen; Carsten Kirkeby
Journal:  Sci Adv       Date:  2020-05-13       Impact factor: 14.136

4.  Advances in automatic identification of flying insects using optical sensors and machine learning.

Authors:  Carsten Kirkeby; Klas Rydhmer; Samantha M Cook; Alfred Strand; Martin T Torrance; Jennifer L Swain; Jord Prangsma; Andreas Johnen; Mikkel Jensen; Mikkel Brydegaard; Kaare Græsbøll
Journal:  Sci Rep       Date:  2021-01-15       Impact factor: 4.379

5.  Real-time dispersal of malaria vectors in rural Africa monitored with lidar.

Authors:  Samuel Jansson; Elin Malmqvist; Yeromin Mlacha; Rickard Ignell; Fredros Okumu; Gerry Killeen; Carsten Kirkeby; Mikkel Brydegaard
Journal:  PLoS One       Date:  2021-03-04       Impact factor: 3.240

6.  Continuous monitoring of aerial density and circadian rhythms of flying insects in a semi-urban environment.

Authors:  Adrien P Genoud; Gregory M Williams; Benjamin P Thomas
Journal:  PLoS One       Date:  2021-11-18       Impact factor: 3.240

7.  Automating insect monitoring using unsupervised near-infrared sensors.

Authors:  Klas Rydhmer; Emily Bick; Laurence Still; Alfred Strand; Rubens Luciano; Salena Helmreich; Brittany D Beck; Christoffer Grønne; Ludvig Malmros; Knud Poulsen; Frederik Elbæk; Mikkel Brydegaard; Jesper Lemmich; Thomas Nikolajsen
Journal:  Sci Rep       Date:  2022-02-16       Impact factor: 4.379

8.  The Bright Side of the Tiger: Autofluorescence Patterns in Aedes albopictus (Diptera, Culicidae) Male and Female Mosquitoes.

Authors:  Anna C Croce; Francesca Scolari
Journal:  Molecules       Date:  2022-01-21       Impact factor: 4.411

9.  Can the narrow red bands of dragonflies be used to perceive wing interference patterns?

Authors:  Mikkel Brydegaard; Samuel Jansson; Marcus Schulz; Anna Runemark
Journal:  Ecol Evol       Date:  2018-05-08       Impact factor: 2.912

10.  Identification of Flying Insects in the Spatial, Spectral, and Time Domains with Focus on Mosquito Imaging.

Authors:  Yuting Sun; Yueyu Lin; Guangyu Zhao; Sune Svanberg
Journal:  Sensors (Basel)       Date:  2021-05-11       Impact factor: 3.576

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