Literature DB >> 20833533

Semi-automated reconstruction of neural circuits using electron microscopy.

Dmitri B Chklovskii1, Shiv Vitaladevuni, Louis K Scheffer.   

Abstract

Reconstructing neuronal circuits at the level of synapses is a central problem in neuroscience, and the focus of the nascent field of connectomics. Previously used to reconstruct the C. elegans wiring diagram, serial-section transmission electron microscopy (ssTEM) is a proven technique for the task. However, to reconstruct more complex circuits, ssTEM will require the automation of image processing. We review progress in the processing of electron microscopy images and, in particular, a semi-automated reconstruction pipeline deployed at Janelia Farm. Drosophila circuits underlying identified behaviors are being reconstructed in the pipeline with the goal of generating a complete Drosophila connectome.
Copyright © 2010. Published by Elsevier Ltd.

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Year:  2010        PMID: 20833533     DOI: 10.1016/j.conb.2010.08.002

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  81 in total

Review 1.  Large-scale automated histology in the pursuit of connectomes.

Authors:  David Kleinfeld; Arjun Bharioke; Pablo Blinder; Davi D Bock; Kevin L Briggman; Dmitri B Chklovskii; Winfried Denk; Moritz Helmstaedter; John P Kaufhold; Wei-Chung Allen Lee; Hanno S Meyer; Kristina D Micheva; Marcel Oberlaender; Steffen Prohaska; R Clay Reid; Stephen J Smith; Shinya Takemura; Philbert S Tsai; Bert Sakmann
Journal:  J Neurosci       Date:  2011-11-09       Impact factor: 6.167

2.  The DIADEM metric: comparing multiple reconstructions of the same neuron.

Authors:  Todd A Gillette; Kerry M Brown; Giorgio A Ascoli
Journal:  Neuroinformatics       Date:  2011-09

3.  Elastic volume reconstruction from series of ultra-thin microscopy sections.

Authors:  Stephan Saalfeld; Richard Fetter; Albert Cardona; Pavel Tomancak
Journal:  Nat Methods       Date:  2012-06-10       Impact factor: 28.547

4.  Vamping: stereology-based automated quantification of fluorescent puncta size and density.

Authors:  Dani Dumitriu; Seth I Berger; Carine Hamo; Yuko Hara; Megan Bailey; Amarelle Hamo; Yael S Grossman; William G Janssen; John H Morrison
Journal:  J Neurosci Methods       Date:  2012-06-07       Impact factor: 2.390

5.  Synaptic circuits and their variations within different columns in the visual system of Drosophila.

Authors:  Shin-ya Takemura; C Shan Xu; Zhiyuan Lu; Patricia K Rivlin; Toufiq Parag; Donald J Olbris; Stephen Plaza; Ting Zhao; William T Katz; Lowell Umayam; Charlotte Weaver; Harald F Hess; Jane Anne Horne; Juan Nunez-Iglesias; Roxanne Aniceto; Lei-Ann Chang; Shirley Lauchie; Ashley Nasca; Omotara Ogundeyi; Christopher Sigmund; Satoko Takemura; Julie Tran; Carlie Langille; Kelsey Le Lacheur; Sari McLin; Aya Shinomiya; Dmitri B Chklovskii; Ian A Meinertzhagen; Louis K Scheffer
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-19       Impact factor: 11.205

6.  Neurokernel: An Open Source Platform for Emulating the Fruit Fly Brain.

Authors:  Lev E Givon; Aurel A Lazar
Journal:  PLoS One       Date:  2016-01-11       Impact factor: 3.240

Review 7.  Identifying behavioral circuits in Drosophila melanogaster: moving targets in a flying insect.

Authors:  Leslie C Griffith
Journal:  Curr Opin Neurobiol       Date:  2012-01-27       Impact factor: 6.627

8.  Understanding complexity in the human brain.

Authors:  Danielle S Bassett; Michael S Gazzaniga
Journal:  Trends Cogn Sci       Date:  2011-04-14       Impact factor: 20.229

Review 9.  Beyond counts and shapes: studying pathology of dendritic spines in the context of the surrounding neuropil through serial section electron microscopy.

Authors:  M Kuwajima; J Spacek; K M Harris
Journal:  Neuroscience       Date:  2012-05-01       Impact factor: 3.590

10.  Efficient semi-automatic 3D segmentation for neuron tracing in electron microscopy images.

Authors:  Cory Jones; Ting Liu; Nathaniel Wood Cohan; Mark Ellisman; Tolga Tasdizen
Journal:  J Neurosci Methods       Date:  2015-03-10       Impact factor: 2.390

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