@article{kasthuri2015saturated,
  title={Saturated reconstruction of a volume of neocortex},
  author={Kasthuri, Narayanan and Hayworth, Kenneth Jeffrey and Berger, Daniel Raimund and Schalek, Richard Lee and Conchello, Jos{\'e} Angel and Knowles-Barley, Seymour and Lee, Dongil and V{\'a}zquez-Reina, Amelio and Kaynig, Verena and Jones, Thouis Raymond and others},
  journal={Cell},
  volume={162},
  number={3},
  pages={648--661},
  year={2015},
  publisher={Elsevier},
  url={http://www.cell.com/abstract/S0092-8674(15)00824-7},
  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.}
}