Author

Laetitia Hebert

Okinawa Institute of Science and Technology Graduate UniversityORCID 0000-0002-9699-0082Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Organism:rat· 1

Frequent Co-Authors

Greg J. StephensiD· 2 shared Katarzyna BożekiD· 2 shared Alexander S. MikheyeviD· 1 shared Guizela Huelsz‐Prince· 1 shared Jeroen Sebastiaan van ZoniD· 1 shared Rutger N.U. KokiD· 1 shared Sander J. TansiD· 1 shared Xuan ZhengiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Greg J. StephensORCID

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2 papers

Recent·Most cited

Markerless tracking of an entire insect colony

Katarzyna Bożek, Laetitia Hebert, Yoann Portugal, Alexander S. Mikheyev, Greg J. Stephens

This paper introduces a computational method to track entire honey bee colonies using video, achieving high accuracy in position and orientation tracking and revealing collective behaviors.

Nature Communications · Mar 19, 2021Peer-reviewedBioinformatics

OrganoidTracker: efficient cell tracking using machine learning and manual error correction

Rutger N.U. Kok, Laetitia Hebert, Guizela Huelsz‐Prince, Yvonne J. Goos, Xuan Zheng, Katarzyna Bożek, Greg J. Stephens, Sander J. Tans, Jeroen Sebastiaan van Zon

OrganoidTracker automates cell tracking in organoids using machine learning and manual error correction, achieving high accuracy with minimal manual intervention.

PLoS ONE · Oct 22, 2020Peer-reviewedBioinformatics