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Saturated Reconstruction of a Volume of Neocortex

Authors :
H. Sebastian Seung
Daniel L. Sussman
William Gray Roncal
José Angel Conchello
Dongil Lee
Joshua T. Vogelstein
Hanspeter Pfister
Juan Carlos Tapia
Narayanan Kasthuri
Thouis R. Jones
Daniel R. Berger
Mike Roberts
Amelio Vazquez-Reina
Randal Burns
Seymour Knowles-Barley
Verena Kaynig
Kenneth J. Hayworth
Richard Schalek
Josh Morgan
Jeff W. Lichtman
Carey E. Priebe
Source :
Cell. (3):648-661
Publisher :
Elsevier Inc.

Abstract

SummaryWe describe automated technologies to probe the structure of neural tissue at nanometer resolution and use them to generate a saturated reconstruction of a sub-volume of mouse neocortex in which all cellular objects (axons, dendrites, and glia) and many sub-cellular components (synapses, synaptic vesicles, spines, spine apparati, postsynaptic densities, and mitochondria) are rendered and itemized in a database. We explore these data to study physical properties of brain tissue. For example, by tracing the trajectories of all excitatory axons and noting their juxtapositions, both synaptic and non-synaptic, with every dendritic spine we refute the idea that physical proximity is sufficient to predict synaptic connectivity (the so-called Peters’ rule). This online minable database provides general access to the intrinsic complexity of the neocortex and enables further data-driven inquiries.Video Abstract

Details

Language :
English
ISSN :
00928674
Issue :
3
Database :
OpenAIRE
Journal :
Cell
Accession number :
edsair.doi.dedup.....660a2a62cff47fce204afca98a899b7c
Full Text :
https://doi.org/10.1016/j.cell.2015.06.054