DeepSlice: rapid fully automatic registration of mouse brain imaging to a volumetric atlas
Harry Carey,
Michael Pegios,
Lewis Martin,
Chris Saleeba,
Anita J. Turner,
Nicholas A. Everett,
Ingvild E. Bjerke,
Maja A. Puchades,
Jan G. Bjaalie and
Simon McMullan ()
Additional contact information
Harry Carey: Macquarie University
Michael Pegios: Macquarie University
Lewis Martin: OpenBench
Chris Saleeba: Macquarie University
Anita J. Turner: Macquarie University
Nicholas A. Everett: University of Sydney
Ingvild E. Bjerke: University of Oslo
Maja A. Puchades: University of Oslo
Jan G. Bjaalie: University of Oslo
Simon McMullan: Macquarie University
Nature Communications, 2023, vol. 14, issue 1, 1-11
Abstract:
Abstract Registration of data to a common frame of reference is an essential step in the analysis and integration of diverse neuroscientific data. To this end, volumetric brain atlases enable histological datasets to be spatially registered and analyzed, yet accurate registration remains expertise-dependent and slow. In order to address this limitation, we have trained a neural network, DeepSlice, to register mouse brain histological images to the Allen Brain Common Coordinate Framework, retaining registration accuracy while improving speed by >1000 fold.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41645-4
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DOI: 10.1038/s41467-023-41645-4
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