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research article

Modeling Brain Circuitry over a Wide Range of Scales

Fua, Pascal  
•
Knott, Graham  orcid-logo
2015
Frontiers in Neuroanatomy

If we are ever to unravel the mysteries of brain function at its most fundamental level, we will need a precise understanding of how its component neurons connect to each other. Electron Microscopes (EM) can now provide the nanometer resolution that is needed to image synapses, and therefore connections, while Light Microscopes (LM) see at the micrometer resolution required to model the 3D structure of the dendritic network. Since both the topology and the connection strength are integral parts of the brain's wiring diagram, being able to combine these two modalities is critically important. In fact, these microscopes now routinely produce high-resolution imagery in such large quantities that the bottleneck becomes automated processing and interpretation, which is needed for such data to be exploited to its full potential. In this paper, we briefly review the Computer Vision techniques we have developed at EPFL to address this need. They include delineating dendritic arbors from LM imagery, segmenting organelles from EM, and combining the two into a consistent representation.

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Type
research article
DOI
10.3389/fnana.2015.00042
Web of Science ID

WOS:000352583800001

Author(s)
Fua, Pascal  
Knott, Graham  orcid-logo
Date Issued

2015

Publisher

Frontiers Research Foundation

Published in
Frontiers in Neuroanatomy
Volume

9

Start page

42

Subjects

Delineation

•

segmentation

•

connectomics

•

Mitochondria

•

Synapses

•

Dendritic arbors

URL

URL

http://www.frontiersin.org/Journal/Abstract.aspx?s=742&name=neuroanatomy&ART_DOI=10.3389/fnana.2015.00042&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Neuroanatomy&id=138235
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CVLAB  
CIME  
Available on Infoscience
March 17, 2015
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/112539
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