Literature DB >> 16284416

A cross-platform freeware tool for digital reconstruction of neuronal arborizations from image stacks.

Kerry M Brown1, Duncan E Donohue, Giampaolo D'Alessandro, Giorgio A Ascoli.   

Abstract

Digital reconstruction of neuronal arborizations is an important step in the quantitative investigation of cellular neuroanatomy. In this process, neurites imaged by microscopy are semi-manually traced through the use of specialized computer software and represented as binary trees of branching cylinders (or truncated cones). Such form of the reconstruction files is efficient and parsimonious, and allows extensive morphometric analysis as well as the implementation of biophysical models of electrophysiology. Here, we describe Neuron_ Morpho, a plugin for the popular Java application ImageJ that mediates the digital reconstruction of neurons from image stacks. Both the executable and code of Neuron_ Morpho are freely distributed (www.maths. soton.ac.uk/staff/D'Alessandro/morpho or www.krasnow.gmu.edu/L-Neuron), and are compatible with all major computer platforms (including Windows, Mac, and Linux). We tested Neuron_Morpho by reconstructing two neurons from each of the two preparations representing different brain areas (hippocampus and cerebellum), neuritic type (pyramidal cell dendrites and olivar axonal projection terminals), and labeling method (rapid Golgi impregnation and anterograde dextran amine), and quantitatively comparing the resulting morphologies to those of the same cells reconstructed with the standard commercial system, Neurolucida. None of the numerous morphometric measures that were analyzed displayed any significant or systematic difference between the two reconstructing systems.

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Mesh:

Year:  2005        PMID: 16284416     DOI: 10.1385/NI:3:4:343

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  19 in total

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4.  Neuronal morphology data bases: morphological noise and assesment of data quality.

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5.  Automated reconstruction of three-dimensional neuronal morphology from laser scanning microscopy images.

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Journal:  Methods       Date:  2003-05       Impact factor: 3.608

6.  ModelDB: making models publicly accessible to support computational neuroscience.

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Journal:  Eur J Neurosci       Date:  2004-03       Impact factor: 3.386

8.  An on-line archive of reconstructed hippocampal neurons.

Authors:  R C Cannon; D A Turner; G K Pyapali; H V Wheal
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9.  A quantitative anatomical study of the granule cell dendritic fields of the rat dentate gyrus using a novel probabilistic method.

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10.  Total number and ratio of excitatory and inhibitory synapses converging onto single interneurons of different types in the CA1 area of the rat hippocampus.

Authors:  A I Gulyás; M Megías; Z Emri; T F Freund
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  30 in total

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

Authors:  Todd A Gillette; Kerry M Brown; Giorgio A Ascoli
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2.  Signal propagation in oblique dendrites of CA1 pyramidal cells.

Authors:  Michele Migliore; Michele Ferrante; Giorgio A Ascoli
Journal:  J Neurophysiol       Date:  2005-12       Impact factor: 2.714

Review 3.  Brain maps and connectivity representation.

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4.  NeuronMetrics: software for semi-automated processing of cultured neuron images.

Authors:  Martha L Narro; Fan Yang; Robert Kraft; Carola Wenk; Alon Efrat; Linda L Restifo
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5.  Neuroinformatics grand challenges.

Authors:  Giorgio A Ascoli
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6.  NeuroMorpho.Org: a central resource for neuronal morphologies.

Authors:  Giorgio A Ascoli; Duncan E Donohue; Maryam Halavi
Journal:  J Neurosci       Date:  2007-08-29       Impact factor: 6.167

7.  L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies.

Authors:  Ruggero Scorcioni; Sridevi Polavaram; Giorgio A Ascoli
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8.  Review of papers describing neuroinformatics software.

Authors:  Erik De Schutter; Giorgio A Ascoli; David N Kennedy
Journal:  Neuroinformatics       Date:  2009-12

9.  The natverse, a versatile toolbox for combining and analysing neuroanatomical data.

Authors:  Alexander Shakeel Bates; James D Manton; Sridhar R Jagannathan; Marta Costa; Philipp Schlegel; Torsten Rohlfing; Gregory Sxe Jefferis
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Review 10.  Neuronal morphology goes digital: a research hub for cellular and system neuroscience.

Authors:  Ruchi Parekh; Giorgio A Ascoli
Journal:  Neuron       Date:  2013-03-20       Impact factor: 17.173

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