Literature DB >> 22119321

Volume electron microscopy for neuronal circuit reconstruction.

Kevin L Briggman1, Davi D Bock.   

Abstract

The last decade has seen a rapid increase in the number of tools to acquire volume electron microscopy (EM) data. Several new scanning EM (SEM) imaging methods have emerged, and classical transmission EM (TEM) methods are being scaled up and automated. Here we summarize the new methods for acquiring large EM volumes, and discuss the tradeoffs in terms of resolution, acquisition speed, and reliability. We then assess each method's applicability to the problem of reconstructing anatomical connectivity between neurons, considering both the current capabilities and future prospects of the method. Finally, we argue that neuronal 'wiring diagrams' are likely necessary, but not sufficient, to understand the operation of most neuronal circuits: volume EM imaging will likely find its best application in combination with other methods in neuroscience, such as molecular biology, optogenetics, and physiology.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2011        PMID: 22119321     DOI: 10.1016/j.conb.2011.10.022

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


  125 in total

1.  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

2.  Rapid specimen preparation to improve the throughput of electron microscopic volume imaging for three-dimensional analyses of subcellular ultrastructures with serial block-face scanning electron microscopy.

Authors:  Truc Quynh Thai; Huy Bang Nguyen; Sei Saitoh; Bao Wu; Yurika Saitoh; Satoshi Shimo; Yaser Hosny Ali Elewa; Osamu Ichii; Yasuhiro Kon; Takashi Takaki; Kensuke Joh; Nobuhiko Ohno
Journal:  Med Mol Morphol       Date:  2016-02-11       Impact factor: 2.309

Review 3.  Cellular-resolution connectomics: challenges of dense neural circuit reconstruction.

Authors:  Moritz Helmstaedter
Journal:  Nat Methods       Date:  2013-06       Impact factor: 28.547

Review 4.  From the connectome to brain function.

Authors:  Cornelia I Bargmann; Eve Marder
Journal:  Nat Methods       Date:  2013-06       Impact factor: 28.547

5.  Connectomic reconstruction of the inner plexiform layer in the mouse retina.

Authors:  Moritz Helmstaedter; Kevin L Briggman; Srinivas C Turaga; Viren Jain; H Sebastian Seung; Winfried Denk
Journal:  Nature       Date:  2013-08-08       Impact factor: 49.962

Review 6.  The connectomics challenge.

Authors:  Ludovico Silvestri; Leonardo Sacconi; Francesco Saverio Pavone
Journal:  Funct Neurol       Date:  2013 Jul-Sep

7.  Using transmission electron microscopy and 3View to determine collagen fibril size and three-dimensional organization.

Authors:  Tobias Starborg; Nicholas S Kalson; Yinhui Lu; Aleksandr Mironov; Timothy F Cootes; David F Holmes; Karl E Kadler
Journal:  Nat Protoc       Date:  2013-06-27       Impact factor: 13.491

8.  Synaptic Specializations of Melanopsin-Retinal Ganglion Cells in Multiple Brain Regions Revealed by Genetic Label for Light and Electron Microscopy.

Authors:  Keun-Young Kim; Luis C Rios; Hiep Le; Alex J Perez; Sébastien Phan; Eric A Bushong; Thomas J Deerinck; Yu Hsin Liu; Maya A Ellisman; Varda Lev-Ram; Suyeon Ju; Sneha A Panda; Sanghee Yoon; Masatoshi Hirayama; Ludovic S Mure; Megumi Hatori; Mark H Ellisman; Satchidananda Panda
Journal:  Cell Rep       Date:  2019-10-15       Impact factor: 9.423

9.  Patterns and distribution of presynaptic and postsynaptic elements within serial electron microscopic reconstructions of neuronal arbors from the medicinal leech Hirudo verbana.

Authors:  Jason E Pipkin; Eric A Bushong; Mark H Ellisman; William B Kristan
Journal:  J Comp Neurol       Date:  2016-12-15       Impact factor: 3.215

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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