Paper
22 July 2019 Correlation of mosquito wing-beat harmonics to aid in species classification and flight heading assessment
Author Affiliations +
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 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.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Samuel Jansson, Alem Gebru, Rickard Ignell, Jessica Abbott, and Mikkel Brydegaard "Correlation of mosquito wing-beat harmonics to aid in species classification and flight heading assessment", Proc. SPIE 11075, Novel Biophotonics Techniques and Applications V, 110750Q (22 July 2019); https://doi.org/10.1117/12.2527224
Lens.org Logo
CITATIONS
Cited by 4 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Backscatter

Modulation

LIDAR

Silicon

Polarimetry

Matrices

Polarization

Back to Top