Perisomatic ultrastructure efficiently classifies cells in mouse cortex
Abstract
Abstract Mammalian neocortex contains a highly diverse set of cell types. These cell types have been mapped systematically using a variety of molecular, electrophysiological and morphological approaches1–4. Each modality offers new perspectives on the variation of biological processes underlying cell-type specialization. Cellular-scale electron microscopy provides dense ultrastructural examination and an unbiased perspective on the subcellular organization of brain cells, including their synaptic connectivity and nanometre-scale morphology. In data that contain tens of thousands of neurons, most of which have incomplete reconstructions, identifying cell types becomes a clear challenge for analysis5. Here, to address this challenge, we present a systematic survey of the somatic region of all cells in a cubic millimetre of cortex using quantitative features obtained from electron microscopy. This analysis demonstrates that the perisomatic region is sufficient to identify cell types, including types defined primarily on the basis of their connectivity patterns. We then describe how this classification facilitates cell-type-specific connectivity characterization and locating cells with rare connectivity patterns in the dataset.
Article Details
Authors (38)
Leila Elabbady
Sharmishtaa Seshamani
Shang Mu
Gayathri Mahalingam
Casey M. Schneider-Mizell
Agnes L. Bodor
J. Alexander Bae
Derrick Brittain
JoAnn Buchanan
Daniel J. Bumbarger
Manuel A. Castro
Sven Dorkenwald
Akhilesh Halageri
Zhen Jia
Chris Jordan
Dan Kapner
Nico Kemnitz
Sam Kinn
Kisuk Lee
Kai Li
Ran Lu
Thomas Macrina
Eric Mitchell
Shanka Subhra Mondal
Barak Nehoran
Sergiy Popovych
William Silversmith
Marc Takeno
Russel Torres
Nicholas L. Turner
William Wong
Jingpeng Wu
Wenjing Yin
Szi-chieh Yu
H. Sebastian Seung
R. Clay Reid
Nuno Maçarico da Costa
Forrest Collman