Manefjord, Hampus and Muller, Lauro and Li, Meng and Salvador, Jacobo and Blomqvist, Sofia and Runemark, Anna and Kirkeby, Carsten and Ignell, Rickard and Bood, Joakim and Brydegaard, Mikkel
(2022).
3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects.
IEEE Journal of Selected Topics in Quantum Electronics. 28
:5
, 7100109
[Research article]
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Abstract
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.
Authors/Creators: | Manefjord, Hampus and Muller, Lauro and Li, Meng and Salvador, Jacobo and Blomqvist, Sofia and Runemark, Anna and Kirkeby, Carsten and Ignell, Rickard and Bood, Joakim and Brydegaard, Mikkel | ||||||
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Title: | 3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects | ||||||
Series Name/Journal: | IEEE Journal of Selected Topics in Quantum Electronics | ||||||
Year of publishing : | 2022 | ||||||
Volume: | 28 | ||||||
Number: | 5 | ||||||
Article number: | 7100109 | ||||||
Number of Pages: | 9 | ||||||
Publisher: | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | ||||||
ISSN: | 1077-260X | ||||||
Language: | English | ||||||
Publication Type: | Research article | ||||||
Article category: | Scientific peer reviewed | ||||||
Version: | Published version | ||||||
Copyright: | Creative Commons: Attribution 4.0 | ||||||
Full Text Status: | Public | ||||||
Subjects: | (A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Ecology | ||||||
Keywords: | Laser radar, Insects, Hyperspectral imaging, Fluorescence, Laser beams, Optical receivers, Instruments, Laser radar, fluorescence, hyperspectral sensors, remote sensing, environmental monitoring, instrumentation, ecology, pollination, disease vectors | ||||||
URN:NBN: | urn:nbn:se:slu:epsilon-p-116896 | ||||||
Permanent URL: | http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-116896 | ||||||
Additional ID: |
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ID Code: | 27701 | ||||||
Faculty: | LTV - Fakulteten för landskapsarkitektur, trädgårds- och växtproduktionsvetenskap | ||||||
Department: | (LTJ, LTV) > Department of Plant Protection Biology | ||||||
Deposited By: | SLUpub Connector | ||||||
Deposited On: | 05 May 2022 11:25 | ||||||
Metadata Last Modified: | 05 May 2022 11:31 |
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