Literature DB >> 27412029

N3DFix: an Algorithm for Automatic Removal of Swelling Artifacts in Neuronal Reconstructions.

Eduardo Conde-Sousa1,2,3, Peter Szücs4,5, Hanchuan Peng6, Paulo Aguiar7,8,9.   

Abstract

It is well established that not only electrophysiology but also morphology plays an important role in shaping the functional properties of neurons. In order to properly quantify morphological features it is first necessary to translate observational histological data into 3-dimensional geometric reconstructions of the neuronal structures. This reconstruction process, independently of being manual or (semi-)automatic, requires several preparation steps (e.g. histological processing) before data acquisition using specialized software. Unfortunately these processing steps likely produce artifacts which are then carried to the reconstruction, such as tissue shrinkage and formation of swellings. If not accounted for and corrected, these artifacts can change significantly the results from morphometric analysis and computer simulations. Here we present N3DFix, an open-source software which uses a correction algorithm to automatically find and fix swelling artifacts in neuronal reconstructions. N3DFix works as a post-processing tool and therefore can be used in either manual or (semi-)automatic reconstructions. The algorithm's internal parameters have been defined using a "ground truth" dataset produced by a neuroanatomist, involving two complementary manual reconstruction procedures: in the first, neuronal topology was faithfully reconstructed, including all swelling artifacts; in the second procedure a meticulous correction of the artifacts was manually performed directly during neuronal tracing. The internal parameters of N3DFix were set to minimize the differences between manual amendments and the algorithm's corrections. It is shown that the performance of N3DFix is comparable to careful manual correction of the swelling artifacts. To promote easy access and wide adoption, N3DFix is available in NEURON, Vaa3D and Py3DN.

Entities:  

Keywords:  Artifact removal algorithm; Morphometric analysis; Neuronal reconstruction; Neuronal simulations; Swelling artifacts

Mesh:

Year:  2017        PMID: 27412029     DOI: 10.1007/s12021-016-9308-7

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


  26 in total

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Authors:  T J Grudt; E R Perl
Journal:  J Physiol       Date:  2002-04-01       Impact factor: 5.182

2.  ModelDB: A Database to Support Computational Neuroscience.

Authors:  Michael L Hines; Thomas Morse; Michele Migliore; Nicholas T Carnevale; Gordon M Shepherd
Journal:  J Comput Neurosci       Date:  2004 Jul-Aug       Impact factor: 1.621

3.  The human brain project.

Authors:  Henry Markram
Journal:  Sci Am       Date:  2012-06       Impact factor: 2.142

4.  Monosynaptic excitatory inputs to spinal lamina I anterolateral-tract-projecting neurons from neighbouring lamina I neurons.

Authors:  Liliana L Luz; Peter Szucs; Raquel Pinho; Boris V Safronov
Journal:  J Physiol       Date:  2010-09-27       Impact factor: 5.182

5.  Extensible visualization and analysis for multidimensional images using Vaa3D.

Authors:  Hanchuan Peng; Alessandro Bria; Zhi Zhou; Giulio Iannello; Fuhui Long
Journal:  Nat Protoc       Date:  2014-01-02       Impact factor: 13.491

6.  Versatile morphometric analysis and visualization of the three-dimensional structure of neurons.

Authors:  Paulo Aguiar; Mafalda Sousa; Peter Szucs
Journal:  Neuroinformatics       Date:  2013-10

7.  A broadly applicable 3-D neuron tracing method based on open-curve snake.

Authors:  Yu Wang; Arunachalam Narayanaswamy; Chia-Ling Tsai; Badrinath Roysam
Journal:  Neuroinformatics       Date:  2011-09

8.  Tubularity flow field--a technique for automatic neuron segmentation.

Authors:  Suvadip Mukherjee; Barry Condron; Scott T Acton
Journal:  IEEE Trans Image Process       Date:  2014-12-04       Impact factor: 10.856

9.  BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images.

Authors:  Hanchuan Peng; Michael Hawrylycz; Jane Roskams; Sean Hill; Nelson Spruston; Erik Meijering; Giorgio A Ascoli
Journal:  Neuron       Date:  2015-07-15       Impact factor: 17.173

10.  A comparison of manual neuronal reconstruction from biocytin histology or 2-photon imaging: morphometry and computer modeling.

Authors:  Arne V Blackman; Stefan Grabuschnig; Robert Legenstein; P Jesper Sjöström
Journal:  Front Neuroanat       Date:  2014-07-11       Impact factor: 3.856

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  1 in total

1.  NeuroMorphoVis: a collaborative framework for analysis and visualization of neuronal morphology skeletons reconstructed from microscopy stacks.

Authors:  Marwan Abdellah; Juan Hernando; Stefan Eilemann; Samuel Lapere; Nicolas Antille; Henry Markram; Felix Schürmann
Journal:  Bioinformatics       Date:  2018-07-01       Impact factor: 6.937

  1 in total

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