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Toward a scalable framework for reproducible processing of volumetric, nanoscale neuroimaging datasets
BACKGROUND: Emerging neuroimaging datasets (collected with imaging techniques such as electron microscopy, optical microscopy, or X-ray microtomography) describe the location and properties of neurons and their connections at unprecedented scale, promising new ways of understanding the brain. These...
Autores principales: | Johnson, Erik C, Wilt, Miller, Rodriguez, Luis M, Norman-Tenazas, Raphael, Rivera, Corban, Drenkow, Nathan, Kleissas, Dean, LaGrow, Theodore J, Cowley, Hannah P, Downs, Joseph, K. Matelsky, Jordan, J. Hughes, Marisa, P. Reilly, Elizabeth, A. Wester, Brock, L. Dyer, Eva, P. Kording, Konrad, R. Gray-Roncal, William |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7751400/ https://www.ncbi.nlm.nih.gov/pubmed/33347572 http://dx.doi.org/10.1093/gigascience/giaa147 |
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