ArticleNeuroinformatics2011
The DIADEM metric: comparing multiple reconstructions of the same neuron.
Article in Neuroinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.
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Who cites it
47 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Computational Tools for Neuronal Morphometric Analysis: A Systematic Search and Review.Neuroinformatics · 2024Pooled it
- Accelerating the continuous community sharing of digital neuromorphology data.FASEB bioAdvances · 2024Article
- BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets.Nature methods · 2023Article
- Neuron tracing from light microscopy images: automation, deep learning and bench testing.Bioinformatics (Oxford, England) · 2022Review
- Large scale similarity search across digital reconstructions of neural morphology.Neuroscience research · 2022Article
- Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks.Frontiers in neuroinformatics · 2022Article
- SNT: a unifying toolbox for quantification of neuronal anatomy.Nature methods · 2021Article
- Improving the Usability of Virtual Reality Neuron Tracing with Topological Elements.IEEE transactions on visualization and computer graphics · 2021Article
- PyNeval: A Python Toolbox for Evaluating Neuron Reconstruction Performance.Frontiers in neuroinformatics · 2021Article
- TraceMontage: A method for merging multiple independent neuronal traces.Journal of neuroscience methods · 2020Article
- A Smart Region-Growing Algorithm for Single-Neuron Segmentation From Confocal and 2-Photon Datasets.Frontiers in neuroinformatics · 2020Article
- The Applications of Lattice Light-sheet Microscopy for Functional Volumetric Imaging of Hippocampal Neurons in a Three-Dimensional Culture System.Micromachines · 2019Article
- Cocaine-Induced Preference Conditioning: a Machine Vision Perspective.Neuroinformatics · 2019Article
- Segmentation, Tracing, and Quantification of Microglial Cells from 3D Image Stacks.Scientific reports · 2019Article
- ShuTu: Open-Source Software for Efficient and Accurate Reconstruction of Dendritic Morphology.Frontiers in neuroinformatics · 2019Article
- Gotta Trace 'em All: A Mini-Review on Tools and Procedures for Segmenting Single Neurons Toward Deciphering the Structural Connectome.Frontiers in bioengineering and biotechnology · 2019Review
- Inference of Cerebrovascular Topology With Geodesic Minimum Spanning Trees.IEEE transactions on medical imaging · 2019Article
- A Virtual Reality Visualization Tool for Neuron Tracing.IEEE transactions on visualization and computer graphics · 2018Article
- A Segmentation Scheme for Complex Neuronal Arbors and Application to Vibration Sensitive Neurons in the Honeybee Brain.Frontiers in neuroinformatics · 2018Article
- A Manual Segmentation Tool for Three-Dimensional Neuron Datasets.Frontiers in neuroinformatics · 2017Article
Corrections and comments
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3 authors.
Funding
Abstract
Digital reconstructions of neuronal morphology are used to study neuron function, development, and responses to various conditions. Although many measures exist to analyze differences between neurons, none is particularly suitable to compare the same arborizing structure over time (morphological change) or reconstructed by different people and/or software (morphological error). The metric introduced for the DIADEM (DIgital reconstruction of Axonal and DEndritic Morphology) Challenge quantifies the similarity between two reconstructions of the same neuron by matching the locations of bifurcations and terminations as well as their topology between the two reconstructed arbors. The DIADEM metric was specifically designed to capture the most critical aspects in automating neuronal reconstructions, and can function in feedback loops during algorithm development. During the Challenge, the metric scored the automated reconstructions of best-performing algorithms against manually traced gold standards over a representative data set collection. The metric was compared with direct quality assessments by neuronal reconstruction experts and with clocked human tracing time saved by automation. The results indicate that relevant morphological features were properly quantified in spite of subjectivity in the underlying image data and varying research goals. The DIADEM metric is freely released open source ( http://diademchallenge.org ) as a flexible instrument to measure morphological error or change in high-throughput reconstruction projects.
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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.