Reconstructing the brain: from image stacks to neuron synthesis
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Summary
This work proposes a novel extension of this workflow to use this data stream to generate an unlimited number of statistically equivalent, yet distinct, digital morphologies, which will bring automated processing of reconstructed cells into digital neurons to the wider neuroscience community, and enable a range of morphologically accurate computational models.
- Type
- article
- Published
- 2016-02-24
- Cited by
- 10
- References
- 22
- Access
- Open access
- OpenAlex
- https://openalex.org/W27747813
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16433213
Keywords
Computer science
References
- BigNeuron: Large-scale 3D Neuron Reconstruction from Optical Microscopy Images
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- V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets
- Interneurons of the neocortical inhibitory system
- Spatial embedding of neuronal trees modeled by diffusive growth.
- L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies
- Context-aware modeling of neuronal morphologies
- NETMORPH: A Framework for the Stochastic Generation of Large Scale Neuronal Networks With Realistic Neuron Morphologies
- BlastNeuron for Automated Comparison, Retrieval and Clustering of 3D Neuron Morphologies
- V 3 D enables real-time 3 D visualization and quantitative analysis of large-scale biological image data sets
- From DIADEM to BigNeuron
- Frontiers in Computational Neuroscience
Cited by
- FMST: an Automatic Neuron Tracing Method Based on Fast Marching and Minimum Spanning Tree
- Brain Mapping and Synapse Quantification In vivo: It's Time to Imaging
- Automated dense neuronal fiber tracing and connectivity mapping at cellular level
- Challenges of Processing and Analyzing Big Data in Mesoscopic Whole-brain Imaging
- Computational synthesis of cortical dendritic morphologies
- Machine learning accelerates the technological development of brain science
- BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology
- BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
- Fast Marching Spanning Tree: An Automatic Neuron Reconstruction Method
- Fundamental Brain Research
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