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DeepSlice: rapid fully automatic registration of mouse brain imaging to a volumetric atlas

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...

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Detalles Bibliográficos
Autores principales: Carey, Harry, Pegios, Michael, Martin, Lewis, Saleeba, Chris, Turner, Anita J., Everett, Nicholas A., Bjerke, Ingvild E., Puchades, Maja A., Bjaalie, Jan G., McMullan, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514056/
https://www.ncbi.nlm.nih.gov/pubmed/37735467
http://dx.doi.org/10.1038/s41467-023-41645-4
Descripción
Sumario: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.