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Computational Modeling Methods for Neuroscientists$
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Erik De Schutter

Print publication date: 2009

Print ISBN-13: 9780262013277

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262013277.001.0001

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PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use.date: 30 July 2021

Reconstruction of Neuronal Morphology

Reconstruction of Neuronal Morphology

Chapter:
(p.187) 8 Reconstruction of Neuronal Morphology
Source:
Computational Modeling Methods for Neuroscientists
Author(s):

Gwen Jacobs

Brenda Claiborne

Kristen Harris

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262013277.003.0009

This chapter, which is concerned with the techniques currently in use for obtaining morphological parameters of neurons, presents suggestions for decreasing the errors introduced during the process. It evaluates the reconstruction techniques that employ both open-source and commercial software programs for obtaining 3-D reconstructions. The chapter suggests that the direct tracing from whole-mount preparations in which the entire cell is contained in a thick section or a ganglion, or tracing from a series of confocal images of a fluorescently labeled cell are the two basic techniques employed to reconstruct neurons at the light microscopy level. It also shows that Cell Centered Database, NeuroMorpho.Org, and Synapse Web are examples of archives of neuronal morphology.

Keywords:   neurons, reconstruction techniques, software programs, ganglion, light microscopy, Cell Centered Database, NeuroMorpho.Org, Synapse Web

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