Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

TCRBinder: Unified pre-trained language model with paired-chain synergy for predicting T-cell receptor binding specificity.

PLoS computational biology·2026
Same author

Electrophysiological and Molecular Features of Remdesivir-Induced Cardiac Toxicity in Male and Female Guinea Pigs.

International journal of molecular sciences·2026
Same author

The 'myocardial work index' does not measure myocardial work.

European heart journal. Imaging methods and practice·2026
Same author

Deep learning-based non-contrast cine CMR for optimized prediction of left ventricular adverse remodeling after ST-elevation myocardial infarction.

International journal of cardiology·2026
Same author

Artificial intelligence-enabled multi-scale virtual cell: perspective, challenges, and opportunities.

Briefings in bioinformatics·2026
Same author

Mechanisms of rectified gap junctional coupling enhancing pacemaking activity of biologically engineered pacemaker cells.

NPJ systems biology and applications·2026

Related Experiment Video

Updated: Apr 26, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

6.2K

A pipeline for neuron reconstruction based on spatial sliding volume filter seeding.

Dong Sui1, Kuanquan Wang1, Jinseok Chae2

  • 1Biocomputing Research Center, School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.

Computational and Mathematical Methods in Medicine
|August 8, 2014
PubMed
Summary

This study introduces a new automated method for reconstructing neuron structures from 3D microscopy images. The novel pipeline accurately maps complex dendritic trees, aiding neuroscience research and simulations.

More Related Videos

Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions
10:08

Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions

Published on: February 24, 2021

5.9K
Time-Lapse Imaging of Neuronal Arborization using Sparse Adeno-Associated Virus Labeling of Genetically Targeted Retinal Cell Populations
13:13

Time-Lapse Imaging of Neuronal Arborization using Sparse Adeno-Associated Virus Labeling of Genetically Targeted Retinal Cell Populations

Published on: March 19, 2021

2.5K

Related Experiment Videos

Last Updated: Apr 26, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

6.2K
Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions
10:08

Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions

Published on: February 24, 2021

5.9K
Time-Lapse Imaging of Neuronal Arborization using Sparse Adeno-Associated Virus Labeling of Genetically Targeted Retinal Cell Populations
13:13

Time-Lapse Imaging of Neuronal Arborization using Sparse Adeno-Associated Virus Labeling of Genetically Targeted Retinal Cell Populations

Published on: March 19, 2021

2.5K

Area of Science:

  • Neuroscience
  • Computational Biology
  • Microscopy Imaging

Background:

  • Neuron shape and dendritic architecture are crucial for neural network function.
  • Accurate reconstruction of neuron anatomy is vital for neuroscience research and simulations.
  • Current automated methods struggle to fully reconstruct complex neuron structures from 3D microscopy data.

Purpose of the Study:

  • To develop an automated pipeline for accurate neuron structure reconstruction from 3D microscopy image stacks.
  • To address the limitations of existing computer-aided methods in fully reconstructing neuron anatomy.
  • To improve the efficiency and accuracy of 3D neuron detection and reconstruction.

Main Methods:

  • A novel pipeline utilizing a sliding volume filter (SVF) for seed detection.
  • Application of open curve snake algorithms to detected seeds for full neuron structure reconstruction.
  • Utilizing 3D microscopy image stacks for high-resolution neuron imaging.

Main Results:

  • The proposed pipeline successfully reconstructs full neuron structures.
  • Experimental results show improved accuracy compared to traditional reconstruction methods.
  • The method facilitates 3D neuron detection and reconstruction from complex datasets.

Conclusions:

  • The developed pipeline offers an effective and accurate solution for neuron structure reconstruction.
  • This advancement aids in understanding neural networks and facilitates neuron system simulation.
  • The novel seeding and reconstruction approach overcomes limitations of previous automated methods.