PT  - JOURNAL ARTICLE
AU  - David Kleinfeld
AU  - Arjun Bharioke
AU  - Pablo Blinder
AU  - Davi D. Bock
AU  - Kevin L. Briggman
AU  - Dmitri B. Chklovskii
AU  - Winfried Denk
AU  - Moritz Helmstaedter
AU  - John P. Kaufhold
AU  - Wei-Chung Allen Lee
AU  - Hanno S. Meyer
AU  - Kristina D. Micheva
AU  - Marcel Oberlaender
AU  - Steffen Prohaska
AU  - R. Clay Reid
AU  - Stephen J. Smith
AU  - Shinya Takemura
AU  - Philbert S. Tsai
AU  - Bert Sakmann
TI  - Large-Scale Automated Histology in the Pursuit of Connectomes
AID  - 10.1523/JNEUROSCI.4077-11.2011
DP  - 2011 Nov 09
TA  - The Journal of Neuroscience
PG  - 16125--16138
VI  - 31
IP  - 45
4099  - http://www.jneurosci.org/content/31/45/16125.short
4100  - http://www.jneurosci.org/content/31/45/16125.full
SO  - J. Neurosci.2011 Nov 09; 31
AB  - How does the brain compute? Answering this question necessitates neuronal connectomes, annotated graphs of all synaptic connections within defined brain areas. Further, understanding the energetics of the brain's computations requires vascular graphs. The assembly of a connectome requires sensitive hardware tools to measure neuronal and neurovascular features in all three dimensions, as well as software and machine learning for data analysis and visualization. We present the state of the art on the reconstruction of circuits and vasculature that link brain anatomy and function. Analysis at the scale of tens of nanometers yields connections between identified neurons, while analysis at the micrometer scale yields probabilistic rules of connection between neurons and exact vascular connectivity.