Author

E. N. Bick

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Organism:non-human primate· 1

Frequent Co-Authors

A. M. Michels· 1 shared H. H. De Fine Licht· 1 shared J. E. Quinn· 1 shared J. G. Lundgren· 1 shared J. Lemmich· 1 shared J. O. Eckberg· 1 shared K. Rydhmer· 1 shared L. Still· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperEcology

A. M. Michels

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2 papers

Recent·Most cited

Automating an insect biodiversity metric using distributed optical sensors: an evaluation across Kansas, USA cropping systems

K. Rydhmer, J. O. Eckberg, J. G. Lundgren, S. Jansson, L. Still, J. E. Quinn, R. Washington, J. Lemmich, T. Nikolajsen, N. Sheller, A. M. Michels, M. M. Bredeson, S. T. Rosenzweig, E. N. Bick

This paper evaluates optical insect sensors for estimating invertebrate species richness in Kansas agricultural fields, finding they correlate better with conventional methods than between conventional methods themselves.

bioRxiv · Aug 15, 2023 · PreprintEcology

Detection of insect health with deep learning on near-infrared sensor data

E. N. Bick, S. Edwards, H. H. De Fine Licht

Automated optical sensors with deep learning distinguish between fungus-infected and healthy insects with 85.6% accuracy two days post-infection.

bioRxiv · Nov 15, 2021 · PreprintEcology