ArticleNeuroinformatics2011
Principal curves as skeletons of tubular objects: locally characterizing the structures of axons.
Article in Neuroinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- CPSN: Caputo Principal-Curve-Guided Segmentation Network on Ultrasound Kidney Databases.Journal of imaging informatics in medicine · 2026Article
- Loss of developmentally derived Irf8+ macrophages promotes hyperinnervation and arrhythmia in the adult zebrafish heart.bioRxiv : the preprint server for biology · 2024Article
- NeuroEditor: a tool to edit and visualize neuronal morphologies.Frontiers in neuroanatomy · 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
- High fidelity fiber orientation density functions from fiber ball imaging.NMR in biomedicine · 2022Article
- Automated Neuron Tracing Using Content-Aware Adaptive Voxel Scooping on CNN Predicted Probability Map.Frontiers in neuroanatomy · 2021Article
- Brain-Wide Shape Reconstruction of a Traced Neuron Using the Convex Image Segmentation Method.Neuroinformatics · 2020Article
- Weakly Supervised Learning of 3D Deep Network for Neuron Reconstruction.Frontiers in neuroanatomy · 2020Article
- Identifying Weak Signals in Inhomogeneous Neuronal Images for Large-Scale Tracing of Sparsely Distributed Neurites.Neuroinformatics · 2019Article
- Optimization of Traced Neuron Skeleton Using Lasso-Based Model.Frontiers in neuroanatomy · 2019Article
- Article
- Automated 3-D Detection of Dendritic Spines from In Vivo Two-Photon Image Stacks.Neuroinformatics · 2017Article
- SparseTracer: the Reconstruction of Discontinuous Neuronal Morphology in Noisy Images.Neuroinformatics · 2017Article
- Automated Neuron Tracing Methods: An Updated Account.Neuroinformatics · 2016Review
- Fuzzy-Logic Based Detection and Characterization of Junctions and Terminations in Fluorescence Microscopy Images of Neurons.Neuroinformatics · 2016Article
- NeuroGPS-Tree: automatic reconstruction of large-scale neuronal populations with dense neurites.Nature methods · 2016Article
- Neuron anatomy structure reconstruction based on a sliding filter.BMC bioinformatics · 2015Article
- Automatic Morphological Reconstruction of Neurons from Multiphoton and Confocal Microscopy Images Using 3D Tubular Models.Neuroinformatics · 2015Article
- Improved automatic centerline tracing for dendritic and axonal structures.Neuroinformatics · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Developments in image acquisition technology make high volumes of neuron images available to neuroscientists for analysis. However, manual processing of these images is not practical and is infeasible for larger and larger scale studies. Reliable interpretation and analysis of high volume data requires accurate quantitative measures. This requires analysis algorithms to use mathematical models that inherit the underlying geometry of biological structures in order to extract topological information. In this paper, we first introduce principal curves as a model for the underlying skeleton of axons and branches, then describe a recursive principal curve tracing (RPCT) method to extract this topology information from 3D microscopy imagery. RPCT first finds samples on the one dimensional principal set of the intensity function in space. Then, given an initial direction and location, the algorithm iteratively traces the principal curve in space using our principal curve tracing (PCT) method. Recursive implementation of PCT provides a compact solution for extracting complex tubular structures that exhibit bifurcations.
Indexed as
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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.