Multiband modulation spectroscopy for the determination of sex and species of mosquitoes in flight
(2018) In Journal of Biophotonics 11(8).- 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 1550nm, 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... (More)
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 1550nm, 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.
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- author
- Gebru, Alem ; Jansson, Samuel LU ; Ignell, Rickard LU ; Kirkeby, Carsten ; Prangsma, Jord C. and Brydegaard, Mikkel LU
- organization
- publishing date
- 2018-04-16
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Disease vectors, Entomological lidar, Modulation spectroscopy, Species classification, Wing interference patterns
- in
- Journal of Biophotonics
- volume
- 11
- issue
- 8
- article number
- e201800014
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- scopus:85045407808
- pmid:29508537
- ISSN
- 1864-063X
- DOI
- 10.1002/jbio.201800014
- language
- English
- LU publication?
- yes
- id
- 97e99724-9746-472e-8127-e799c40f90a4
- date added to LUP
- 2018-04-24 15:17:42
- date last changed
- 2024-03-18 08:46:09
@article{97e99724-9746-472e-8127-e799c40f90a4,
abstract = {{<p>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 1550nm, 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.</p>}},
author = {{Gebru, Alem and Jansson, Samuel and Ignell, Rickard and Kirkeby, Carsten and Prangsma, Jord C. and Brydegaard, Mikkel}},
issn = {{1864-063X}},
keywords = {{Disease vectors; Entomological lidar; Modulation spectroscopy; Species classification; Wing interference patterns}},
language = {{eng}},
month = {{04}},
number = {{8}},
publisher = {{John Wiley & Sons Inc.}},
series = {{Journal of Biophotonics}},
title = {{Multiband modulation spectroscopy for the determination of sex and species of mosquitoes in flight}},
url = {{http://dx.doi.org/10.1002/jbio.201800014}},
doi = {{10.1002/jbio.201800014}},
volume = {{11}},
year = {{2018}},
}