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Saturated Reconstruction of a Volume of Neocortex.

Abstract：

:We 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.

journal_name

Cell

journal_title

Cell

authors

Kasthuri N,Hayworth KJ,Berger DR,Schalek RL,Conchello JA,Knowles-Barley S,Lee D,Vázquez-Reina A,Kaynig V,Jones TR,Roberts M,Morgan JL,Tapia JC,Seung HS,Roncal WG,Vogelstein JT,Burns R,Sussman DL,Priebe CE,Pfister H

doi

10.1016/j.cell.2015.06.054

subject

Has Abstract

pub_date

2015-07-30 00:00:00

pages

648-61

issue

3

eissn

0092-8674

issn

1097-4172

pii

S0092-8674(15)00824-7

journal_volume

162

pub_type

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