Connectomics Annotation Metadata Standardization for Increased Accessibility and Queryability.
Front Neuroinform
; 16: 828458, 2022.
Article
em En
| MEDLINE
| ID: mdl-35651719
ABSTRACT
Neuroscientists can leverage technological advances to image neural tissue across a range of different scales, potentially forming the basis for the next generation of brain atlases and circuit reconstructions at submicron resolution, using Electron Microscopy and X-ray Microtomography modalities. However, there is variability in data collection, annotation, and storage approaches, which limits effective comparative and secondary analysis. There has been great progress in standardizing interfaces for large-scale spatial image data, but more work is needed to standardize annotations, especially metadata associated with neuroanatomical entities. Standardization will enable validation, sharing, and replication, greatly amplifying investment throughout the connectomics community. We share key design considerations and a usecase developed for metadata for a recent large-scale dataset.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Revista:
Front Neuroinform
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Estados Unidos