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  Cellular-resolution connectomics: challenges of dense neural circuit reconstruction

Helmstaedter, M. (2013). Cellular-resolution connectomics: challenges of dense neural circuit reconstruction. NATURE METHODS, 10(6), 501-507. doi:10.1038/NMETH.2476.

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 Creators:
Helmstaedter, Moritz1, Author           
Affiliations:
1Research Group: Structure of Neocortical Circuits / Helmstaedter, MPI of Neurobiology, Max Planck Society, ou_1128547              

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Free keywords: ELECTRON-MICROSCOPY; BRAIN; SEGMENTATION; PHYSIOLOGY; TISSUE; VOLUME; NEUROPIL; ANATOMY; NETWORK
 Abstract: Neuronal networks are high-dimensional graphs that are packed into three-dimensional nervous tissue at extremely high density. Comprehensively mapping these networks is therefore a major challenge. Although recent developments in volume electron microscopy imaging have made data acquisition feasible for circuits comprising a few hundreds to a few thousands of neurons, data analysis is massively lagging behind. The aim of this perspective is to summarize and quantify the challenges for data analysis in cellular-resolution connectomics and describe current solutions involving online crowd-sourcing and machine-learning approaches.

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Language(s): eng - English
 Dates: 2013-06
 Publication Status: Issued
 Pages: 7
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: ISI: 000319668700020
DOI: 10.1038/NMETH.2476
 Degree: -

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Title: NATURE METHODS
Source Genre: Journal
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Publ. Info: MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND : NATURE PUBLISHING GROUP
Pages: - Volume / Issue: 10 (6) Sequence Number: - Start / End Page: 501 - 507 Identifier: ISSN: 1548-7091