Species and sex identification by hyperspectral imaging
Identifying mosquitoes is important for the prevention of mosquito-borne diseases, effective pest control, and environmental monitoring. By accurately monitoring and identifying mosquito species we can better understand and manage the impacts of mosquitoes. In this thesis work you will be investigating if we can differentiate mosquito species and sex based on wing interference patterns (WIPs). You will analyze hyperspectral imaging data in Matlab for 4 species of mosquitoes from tropical and sub-tropical regions and both sexes, including Anopheles and Culex. Distinct WIP signals between species and sex could greatly improve the accuracy for identifying the correct species and sex of mosquitoes for photonic field sensors.
Supervisors:
Ph.D. cand. Meng Li (Dept. Physics, Lund University)
Prof. Rickard Ignell (Dept. Plant Protection Biology, SLU)
Ass. Prof. Mikkel Brydegaard (Dept. Physics, Lund University)
Contact:
meng.li@forbrf.lth.se
rickard.ignell@slu.se