Automated neuron tracing methods: an updated account
L Acciai, P Soda, G Iannello - Neuroinformatics, 2016 - Springer
The reconstruction of neuron morphology allows to investigate how the brain works, which is
one of the foremost challenges in neuroscience. This process aims at extracting the …
one of the foremost challenges in neuroscience. This process aims at extracting the …
Gapr for large-scale collaborative single-neuron reconstruction
Whole-brain analysis of single-neuron morphology is crucial for unraveling the complex
structure of the brain. However, large-scale neuron reconstruction from terabyte and even …
structure of the brain. However, large-scale neuron reconstruction from terabyte and even …
PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds
Digital neuron reconstruction from 3D microscopy images is an essential technique for
investigating brain connectomics and neuron morphology. Existing reconstruction …
investigating brain connectomics and neuron morphology. Existing reconstruction …
Soma detection in 3D images of neurons using machine learning technique
GW He, TY Wang, AS Chiang, YT Ching - Neuroinformatics, 2018 - Springer
Computing and analyzing the neuronal structure is essential to studying connectome. Two
important tasks for such analysis are finding the soma and constructing the neuronal …
important tasks for such analysis are finding the soma and constructing the neuronal …
Deep semantic instance segmentation of tree-like structures using synthetic data
Tree-like structures, such as blood vessels, often express complexity at very fine scales,
requiring high-resolution grids to adequately describe their shape. Such sparse morphology …
requiring high-resolution grids to adequately describe their shape. Such sparse morphology …
Topological skeletonization and tree-summarization of neurons using Discrete Morse theory
Neuroscientific data analysis has classically involved methods for statistical signal and
image processing, drawing on linear algebra and stochastic process theory. However …
image processing, drawing on linear algebra and stochastic process theory. However …
Detection and skeletonization of single neurons and tracer injections using topological methods
Neuroscientific data analysis has traditionally relied on linear algebra and stochastic
process theory. However, the tree-like shapes of neurons cannot be described easily as …
process theory. However, the tree-like shapes of neurons cannot be described easily as …
C3VFC: A Method for Tracing and Quantification of Microglia in 3D Temporal Images
Automatic glia reconstruction is essential for the dynamic analysis of microglia motility and
morphology, notably so in research on neurodegenerative diseases. In this paper, we …
morphology, notably so in research on neurodegenerative diseases. In this paper, we …
Tools for automated reconstruction of neural circuits from optical microscopy images
SL Wang - 2019 - search.proquest.com
The ability to extract accurate morphology of labeled neurons from optical microscopy
images is crucial for mapping brain connectivity and for understanding changes in …
images is crucial for mapping brain connectivity and for understanding changes in …