Author

Henrik Karstoft

Aarhus UniversityORCID 0000-0003-3739-8983Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

Kim BjergeiD· 2 shared Toke T. HøyeiD· 2 shared Hjalte M. R. ManniD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersEcology

Kim BjergeORCID

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2 papers

Recent·Most cited

EcologyRemote Sensing in Ecology and ConservationPeer-reviewedApr 17, 2025

Towards edge processing of images from insect camera traps

Kim Bjerge, Henrik Karstoft, Toke T. Høye

This paper presents an image processing pipeline for analyzing insect camera trap data, enabling detection, tracking, and classification of nocturnal insects, with evaluation of edge computing devices for real-time processing.

17 citationstop 5%

imagingdeep learning

𝕏 PostBluesky

EcologyEcological InformaticsPeer-reviewedOct 31, 2024

A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments

Kim Bjerge, Henrik Karstoft, Hjalte M. R. Mann, Toke T. Høye

This paper presents a deep learning pipeline to monitor arthropod abundance and floral cover using time-lapse camera data, showing a correlation between flower cover and arthropod activity.

33 citations

imagingdeep learning

𝕏 PostBluesky