DeNeRD: high-throughput detection of neurons for brain-wide analysis with deep learning
Abstract Mapping the structure of the mammalian brain at cellular resolution is a challenging task and one that requires capturing key anatomical features at the appropriate level of analysis. Although neuroscientific methods have managed to provide significant insights at the micro and macro level,...
Guardado en:
Autores principales: | Asim Iqbal, Asfandyar Sheikh, Theofanis Karayannis |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0c93a62486f44119a30a0c109bda08fa |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Deep learning-based real-time detection of neurons in brain slices for in vitro physiology
por: Mighten C. Yip, et al.
Publicado: (2021) -
NuRD-interacting protein ZFP296 regulates genome-wide NuRD localization and differentiation of mouse embryonic stem cells
por: Susan L. Kloet, et al.
Publicado: (2018) -
High-throughput dual-colour precision imaging for brain-wide connectome with cytoarchitectonic landmarks at the cellular level
por: Hui Gong, et al.
Publicado: (2016) -
High throughput sequencing of whole transcriptome and construct of ceRNA regulatory network in RD cells infected with enterovirus D68
por: Junzhuo Si, et al.
Publicado: (2021) -
Deep brain activities can be detected with magnetoencephalography
por: Francesca Pizzo, et al.
Publicado: (2019)