ArticleNeuroinformatics2005
A cross-platform freeware tool for digital reconstruction of neuronal arborizations from image stacks.
Article in Neuroinformatics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed.
- Automated quantification of mesenteric hyperaemia in Crohn's disease using time-of-flight magnetic resonance angiography.Abdominal radiology (New York) · 2026Article
- Article
- Quantitative assessment of the intracranial vasculature in an older adult population using iCafe.Neurobiology of aging · 2019Article
- Ensemble Neuron Tracer for 3D Neuron Reconstruction.Neuroinformatics · 2017Article
- A Manual Segmentation Tool for Three-Dimensional Neuron Datasets.Frontiers in neuroinformatics · 2017Article
- Quantitative investigations of axonal and dendritic arbors: development, structure, function, and pathology.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2015Review
- From Curves to Trees: A Tree-like Shapes Distance Using the Elastic Shape Analysis Framework.Neuroinformatics · 2015Article
- Morphometric, geographic, and territorial characterization of brain arterial trees.International journal for numerical methods in biomedical engineering · 2014Article
- Stereological and ultrastructural quantification of the afferent synaptome of individual neurons.Brain structure & function · 2014Article
- Digital reconstruction and morphometric analysis of human brain arterial vasculature from magnetic resonance angiography.NeuroImage · 2013Article
- Review
- NEuronMOrphological analysis tool: open-source software for quantitative morphometrics.Frontiers in neuroinformatics · 2013Article
- Digital morphometry of rat cerebellar climbing fibers reveals distinct branch and bouton types.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2012Article
- Curve interpolation model for visualising disjointed neural elements.Neural regeneration research · 2012Article
- Non-homogeneous stereological properties of the rat hippocampus from high-resolution 3D serial reconstruction of thin histological sections.Neuroscience · 2012Article
- Neuromantic - from semi-manual to semi-automatic reconstruction of neuron morphology.Frontiers in neuroinformatics · 2012Article
- The DIADEM metric: comparing multiple reconstructions of the same neuron.Neuroinformatics · 2011Article
- The DIADEM data sets: representative light microscopy images of neuronal morphology to advance automation of digital reconstructions.Neuroinformatics · 2011Review
- NeurphologyJ: an automatic neuronal morphology quantification method and its application in pharmacological discovery.BMC bioinformatics · 2011Article
- Potential Synaptic Connectivity of Different Neurons onto Pyramidal Cells in a 3D Reconstruction of the Rat Hippocampus.Frontiers in neuroinformatics · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
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.
Indexed as
Identifiers
16284416What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.