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Correlation of mosquito wing-beat harmonics to aid in species classification and flight heading assessment

Jansson, Samuel LU ; Gebru, Alem ; Ignell, Rickard LU ; Abbott, Jessica LU orcid and Brydegaard, Mikkel LU (2019) Novel Biophotonics Techniques and Applications V 2019 In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 20(60).
Abstract

Surveying disease vectors is currently excessively laborious for continuous and widespread monitoring. Wing beat modulation spectroscopy gives opportunity for species and sex recognition in electronic traps or mosquito target classification in lidar. We used a polarimetric dual-wavelength-band laboratory system to record kHz modulated backscattered light from insects. The system operates in the near and short-wave infrared at 808 nm and 1550 nm and retrieves both co- and depolarized light. Here we give clues on the harmonic content and covariance of four mosquito species and fruit flies. Further, we interpret the interdependence of harmonic strengths when insects transit the probe volume with random heading direction and provide... (More)

Surveying disease vectors is currently excessively laborious for continuous and widespread monitoring. Wing beat modulation spectroscopy gives opportunity for species and sex recognition in electronic traps or mosquito target classification in lidar. We used a polarimetric dual-wavelength-band laboratory system to record kHz modulated backscattered light from insects. The system operates in the near and short-wave infrared at 808 nm and 1550 nm and retrieves both co- and depolarized light. Here we give clues on the harmonic content and covariance of four mosquito species and fruit flies. Further, we interpret the interdependence of harmonic strengths when insects transit the probe volume with random heading direction and provide correlation matrices for coherent and incoherent light. Using the obtained parameters, we demonstrate that species that are difficult to distinguish with microscope can be classified with high accuracy. The results are valuable for understanding wingbeat harmonics in relation to heading and valuable for optimal sensor design for disease vector surveillance.

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Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
disease vectors, lidar, malaria, Modulation spectroscopy, polarimetry, thin film, wing beat harmonics
host publication
Novel Biophotonics Techniques and Applications V
series title
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
editor
Amelink, Arjen and Nadkarni, Seemantini K.
volume
20
issue
60
article number
110750Q
pages
8 pages
publisher
SPIE
conference name
Novel Biophotonics Techniques and Applications V 2019
conference location
Munich, Germany
conference dates
2019-06-26 - 2019-06-27
external identifiers
  • scopus:85074302136
ISSN
1605-7422
2410-9045
ISBN
9781510628434
DOI
10.1117/12.2527224
language
English
LU publication?
yes
id
83cd7e5c-0ebb-45c4-8479-66617209364f
date added to LUP
2019-11-21 14:48:24
date last changed
2024-05-15 01:51:59
@inproceedings{83cd7e5c-0ebb-45c4-8479-66617209364f,
  abstract     = {{<p>Surveying disease vectors is currently excessively laborious for continuous and widespread monitoring. Wing beat modulation spectroscopy gives opportunity for species and sex recognition in electronic traps or mosquito target classification in lidar. We used a polarimetric dual-wavelength-band laboratory system to record kHz modulated backscattered light from insects. The system operates in the near and short-wave infrared at 808 nm and 1550 nm and retrieves both co- and depolarized light. Here we give clues on the harmonic content and covariance of four mosquito species and fruit flies. Further, we interpret the interdependence of harmonic strengths when insects transit the probe volume with random heading direction and provide correlation matrices for coherent and incoherent light. Using the obtained parameters, we demonstrate that species that are difficult to distinguish with microscope can be classified with high accuracy. The results are valuable for understanding wingbeat harmonics in relation to heading and valuable for optimal sensor design for disease vector surveillance.</p>}},
  author       = {{Jansson, Samuel and Gebru, Alem and Ignell, Rickard and Abbott, Jessica and Brydegaard, Mikkel}},
  booktitle    = {{Novel Biophotonics Techniques and Applications V}},
  editor       = {{Amelink, Arjen and Nadkarni, Seemantini K.}},
  isbn         = {{9781510628434}},
  issn         = {{1605-7422}},
  keywords     = {{disease vectors; lidar; malaria; Modulation spectroscopy; polarimetry; thin film; wing beat harmonics}},
  language     = {{eng}},
  month        = {{10}},
  number       = {{60}},
  publisher    = {{SPIE}},
  series       = {{Progress in Biomedical Optics and Imaging - Proceedings of SPIE}},
  title        = {{Correlation of mosquito wing-beat harmonics to aid in species classification and flight heading assessment}},
  url          = {{http://dx.doi.org/10.1117/12.2527224}},
  doi          = {{10.1117/12.2527224}},
  volume       = {{20}},
  year         = {{2019}},
}