
Published in Advanced Science, the findings “could revolutionize insect surveillance,” according to the project.
The NKT/Lund platform employs a technique termed elastic hyperspectral Scheimpflug lidar (EHSL). The Scheimpflug principle, originally derived from aerial photography, involves the lens and detector being tilted with respect to each other, increasing the focal depth that the system can achieve.
In a lidar system with the image sensor orientated according to the Scheimpflug principle, backscatter from a laser beam directed into the atmosphere can arrive on a tilted sensor with all backscattered echoes in focus simultaneously, a route to theoretically infinite focal depth with a large optical aperture.
One basic method involves trapping live insects for identification, a relatively time consuming and expensive process, but more advanced photonics techniques are now being applied to the task.
For trials in southern Sweden, NKT and Lund University arranged its device so that nocturnal insects passed through a stationary laser beam that recorded the distance to the insect and the reflected spectrum.
“Insect wings are thin membranes,” said the project. “When the laser light hits the insect wing, some light is reflected from the first surface, and some is reflected from the second surface after passing through the wing. This creates patterns called wing interference patterns.”
Different insect species have specific wingbeat frequencies and wing interference patterns, and capturing data from both characteristic properties could make it possible to differentiate hundreds of free-flying insect species in their natural habitat.
Remote measurements with nanometer precision
The EHSL device employed continuous wave Scheimpflug lidar alongside an inelastic hyperspectral version of the same architecture, a version which had previously been developed and employed in fluorescence mode. Adding spectroscopy to lidar allows retrieval of tiny features over far distances, according to the project team.
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