3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects

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  • Hampus Manefjord
  • Lauro Muller
  • Meng Li
  • Jacobo Salvador
  • Sofia Blomqvist
  • Anna Runemark
  • Kirkeby, Carsten
  • Rickard Ignell
  • Joakim Bood
  • Mikkel Brydegaard

Insects play crucial roles in ecosystems, and how they disperse within their habitat has significant implications for our daily life. Examples include foraging ranges for pollinators, as well as the spread of disease vectors and pests. Despite technological advances with radio tags, isotopes, and genetic sequencing, insect dispersal and migration range remain challenging to study. The gold standard method of mark-recapture is tedious and inefficient. This paper demonstrates the construction of a compact, inexpensive hyperspectral fluorescence lidar. The system is based on off-the-shelf components and 3D printing. After evaluating the performance of the instrument in the laboratory, we demonstrate its efficient range-resolved fluorescence spectra in situ. We present daytime remote ranging and fluorescent identification of auto-powder-tagged honey bees. We also showcase range-, temporally- and spectrally-resolved free-flying mosquitoes, which were tagged through feeding on fluorescent-dyed sugar water. We conclude that violet light can efficiently excite administered sugar meals imbibed by flying insects. Our field experiences provide realistic expectations of signal-to-noise levels, which can be used in future studies. The technique is generally applicable and can efficiently monitor several tagged insect groups in parallel for comparative ecological analysis. This technique opens up a range of ecological experiments, which were previously unfeasible.

Original languageEnglish
Article number7100109
JournalIEEE Journal of Selected Topics in Quantum Electronics
Volume28
Issue number5
ISSN1077-260X
DOIs
Publication statusPublished - 2022

Bibliographical note

Publisher Copyright:
© 1995-2012 IEEE.

    Research areas

  • disease vectors, ecology, environmental monitoring, fluorescence, hyperspectral sensors, instrumentation, Laser radar, pollination, remote sensing

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