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Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity

Authors :
Nicholas L. Turner
Thomas Macrina
J. Alexander Bae
Runzhe Yang
Alyssa M. Wilson
Casey Schneider-Mizell
Kisuk Lee
Ran Lu
Jingpeng Wu
Agnes L. Bodor
Adam A. Bleckert
Derrick Brittain
Emmanouil Froudarakis
Sven Dorkenwald
Forrest Collman
Nico Kemnitz
Dodam Ih
William M. Silversmith
Jonathan Zung
Aleksandar Zlateski
Ignacio Tartavull
Szi-chieh Yu
Sergiy Popovych
Shang Mu
William Wong
Chris S. Jordan
Manuel Castro
JoAnn Buchanan
Daniel J. Bumbarger
Marc Takeno
Russel Torres
Gayathri Mahalingam
Leila Elabbady
Yang Li
Erick Cobos
Pengcheng Zhou
Shelby Suckow
Lynne Becker
Liam Paninski
Franck Polleux
Jacob Reimer
Andreas S. Tolias
R. Clay Reid
Nuno Maçarico da Costa
H. Sebastian Seung
Source :
Cell
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

We assembled a semi-automated reconstruction of L2/3 mouse primary visual cortex from ~250×140×90 μm(3) of electron microscopic images, including pyramidal and non-pyramidal neurons, astrocytes, microglia, oligodendrocytes and precursors, pericytes, vasculature, nuclei, mitochondria, and synapses. Visual responses of a subset of pyramidal cells are included. The data are publicly available, along with tools for programmatic and three-dimensional interactive access. Brief vignettes illustrate the breadth of potential applications relating structure to function in cortical circuits and neuronal cell biology. Mitochondria and synapse organization are characterized as a function of path length from the soma. Pyramidal connectivity motif frequencies are predicted accurately using a configuration model of random graphs. Pyramidal cells receiving more connections from nearby cells exhibit stronger and more reliable visual responses. Sample code shows data access and analysis.

Details

ISSN :
00928674
Volume :
185
Database :
OpenAIRE
Journal :
Cell
Accession number :
edsair.doi.dedup.....0e954021dec03b3c3866cb2985db5374