3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects

Autores
Manefjord, Hampus; Muller, Lauro; Li, Meng; Salvador, Jacobo Omar; Blomqvist, Sofia; Runemark, Anna; Kirkeby, Carsten; Ignell, Rickard; Bood, Joakim; Brydegaard, Mikkel
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Manefjord, Hampus. Lund University; Suecia
Fil: Muller, Lauro. Lund University; Suecia
Fil: Li, Meng. Lund University; Suecia
Fil: Salvador, Jacobo Omar. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Lund University; Suecia
Fil: Blomqvist, Sofia. Lund University; Suecia
Fil: Runemark, Anna. Lund University; Suecia
Fil: Kirkeby, Carsten. Universidad de Copenhagen; Dinamarca
Fil: Ignell, Rickard. Lund University; Suecia
Fil: Bood, Joakim. Swedish Agricultural University; Suecia
Fil: Brydegaard, Mikkel. Lund University; Suecia
Materia
DISEASE VECTORS
ECOLOGY
ENVIRONMENTAL MONITORING
FLUORESCENCE
HYPERSPECTRAL SENSORS
INSTRUMENTATION
LASER RADAR
POLLINATION
REMOTE SENSING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/218940
Acceder
id CONICETDig_441d44f557b56b871e9c02425f55739d
oai_identifier_str oai:ri.conicet.gov.ar:11336/218940
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling 3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged InsectsManefjord, HampusMuller, LauroLi, MengSalvador, Jacobo OmarBlomqvist, SofiaRunemark, AnnaKirkeby, CarstenIgnell, RickardBood, JoakimBrydegaard, MikkelDISEASE VECTORSECOLOGYENVIRONMENTAL MONITORINGFLUORESCENCEHYPERSPECTRAL SENSORSINSTRUMENTATIONLASER RADARPOLLINATIONREMOTE SENSINGhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Insects 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.Fil: Manefjord, Hampus. Lund University; SueciaFil: Muller, Lauro. Lund University; SueciaFil: Li, Meng. Lund University; SueciaFil: Salvador, Jacobo Omar. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Lund University; SueciaFil: Blomqvist, Sofia. Lund University; SueciaFil: Runemark, Anna. Lund University; SueciaFil: Kirkeby, Carsten. Universidad de Copenhagen; DinamarcaFil: Ignell, Rickard. Lund University; SueciaFil: Bood, Joakim. Swedish Agricultural University; SueciaFil: Brydegaard, Mikkel. Lund University; SueciaInstitute of Electrical and Electronics Engineers2023-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/218940Manefjord, Hampus; Muller, Lauro; Li, Meng; Salvador, Jacobo Omar; Blomqvist, Sofia; et al.; 3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects; Institute of Electrical and Electronics Engineers; Ieee Journal Of Selected Topics In Quantum Electronics; 28; 5; 3-2023; 1-91077-260XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/9743304info:eu-repo/semantics/altIdentifier/doi/10.1109/JSTQE.2022.3162417info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:30:17Zoai:ri.conicet.gov.ar:11336/218940instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:30:17.326CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv 3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects
title 3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects
spellingShingle 3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects
Manefjord, Hampus
DISEASE VECTORS
ECOLOGY
ENVIRONMENTAL MONITORING
FLUORESCENCE
HYPERSPECTRAL SENSORS
INSTRUMENTATION
LASER RADAR
POLLINATION
REMOTE SENSING
title_short 3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects
title_full 3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects
title_fullStr 3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects
title_full_unstemmed 3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects
title_sort 3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects
dc.creator.none.fl_str_mv Manefjord, Hampus
Muller, Lauro
Li, Meng
Salvador, Jacobo Omar
Blomqvist, Sofia
Runemark, Anna
Kirkeby, Carsten
Ignell, Rickard
Bood, Joakim
Brydegaard, Mikkel
author Manefjord, Hampus
author_facet Manefjord, Hampus
Muller, Lauro
Li, Meng
Salvador, Jacobo Omar
Blomqvist, Sofia
Runemark, Anna
Kirkeby, Carsten
Ignell, Rickard
Bood, Joakim
Brydegaard, Mikkel
author_role author
author2 Muller, Lauro
Li, Meng
Salvador, Jacobo Omar
Blomqvist, Sofia
Runemark, Anna
Kirkeby, Carsten
Ignell, Rickard
Bood, Joakim
Brydegaard, Mikkel
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv DISEASE VECTORS
ECOLOGY
ENVIRONMENTAL MONITORING
FLUORESCENCE
HYPERSPECTRAL SENSORS
INSTRUMENTATION
LASER RADAR
POLLINATION
REMOTE SENSING
topic DISEASE VECTORS
ECOLOGY
ENVIRONMENTAL MONITORING
FLUORESCENCE
HYPERSPECTRAL SENSORS
INSTRUMENTATION
LASER RADAR
POLLINATION
REMOTE SENSING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Manefjord, Hampus. Lund University; Suecia
Fil: Muller, Lauro. Lund University; Suecia
Fil: Li, Meng. Lund University; Suecia
Fil: Salvador, Jacobo Omar. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Lund University; Suecia
Fil: Blomqvist, Sofia. Lund University; Suecia
Fil: Runemark, Anna. Lund University; Suecia
Fil: Kirkeby, Carsten. Universidad de Copenhagen; Dinamarca
Fil: Ignell, Rickard. Lund University; Suecia
Fil: Bood, Joakim. Swedish Agricultural University; Suecia
Fil: Brydegaard, Mikkel. Lund University; Suecia
description 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.
publishDate 2023
dc.date.none.fl_str_mv 2023-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/218940
Manefjord, Hampus; Muller, Lauro; Li, Meng; Salvador, Jacobo Omar; Blomqvist, Sofia; et al.; 3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects; Institute of Electrical and Electronics Engineers; Ieee Journal Of Selected Topics In Quantum Electronics; 28; 5; 3-2023; 1-9
1077-260X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/218940
identifier_str_mv Manefjord, Hampus; Muller, Lauro; Li, Meng; Salvador, Jacobo Omar; Blomqvist, Sofia; et al.; 3D-Printed Fluorescence Hyperspectral Lidar for Monitoring Tagged Insects; Institute of Electrical and Electronics Engineers; Ieee Journal Of Selected Topics In Quantum Electronics; 28; 5; 3-2023; 1-9
1077-260X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/9743304
info:eu-repo/semantics/altIdentifier/doi/10.1109/JSTQE.2022.3162417
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846083441034002432
score 13.22299

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