Author

Masako Ogasawara

Okinawa Institute of Science and Technology Graduate UniversityORCID 0000-0002-1445-9563Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Ecology· 1 Zoology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:database / resource· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:multiple species· 1 Organism:non-human primate· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

Abel BernadouiD· 1 shared Adrian RichteriD· 1 shared Alexandre Casadei‐FerreiraiD· 1 shared Ana Ješovnik· 1 shared András Tartally· 1 shared Andrew C. ParnelliD· 1 shared Anthony GibbonsiD· 1 shared Arthur MatteiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperZoology

Abel BernadouORCID

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2 papers

Recent·Most cited

Acoustic detection of a rarely vocalising invasive mammal from sparse data

Anthony Gibbons, Andrew C. Parnell, Ian Donohue, Masako Ogasawara, Samuel R. P.‐J. Ross

The paper develops a lightweight acoustic classifier for detecting rare vocalisations of the invasive small Indian mongoose using sparse data, but finds limited utility due to small training datasets.

bioRxiv · Jun 23, 2026 · PreprintEcology

High-throughput phenomics of global ant biodiversity

Julian Katzke, Francisco Hita Garcia, Philipp D. Lösel, Fumika Azuma, Tomáš Faragó, Lazzat Aibekova, Alexandre Casadei‐Ferreira, Shubham Gautam, Adrian Richter, Evropi Toulkeridou, Sabine Bremer, Elias Hamann, Jenny Hein, Janes Odar, Chandan Sarkar, , Thomas van de Kamp

Antscan provides 2,193 standardized whole-body 3D synchrotron micro-CT datasets across 792 ant species (212 genera), pairing morphological volumes with automated deep-learning segmentation and genome sequencing projects.

Nature Methods · Mar 1, 2026Peer-reviewedZoology✦ In-depth digest