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

Hierarchical Auto-labeling of Coronary Arteries on CT Coronary Angiography Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Construction of a prognostic survival model with tumor immune-related genes for breast cancer.

Translational cancer research·2025
Same author

The role of Lysinibacillus fusiformis S01 in cadmium removal from water and immobilization in soil.

Journal of hazardous materials·2024
Same author

Smart Ship Draft Reading by Dual-Flow Deep Learning Architecture and Multispectral Information.

Sensors (Basel, Switzerland)·2024
Same author

The Association of Hypertension with Perfluoroalkyl and Polyfluoroalkyl Substances.

International heart journal·2023
Same author

A new miniMOS tool kit capable of visualizing single copy insertion in <i>C. elegans</i>.

PeerJ·2023
Same journal

Robust Semiglobal and Global Stabilization for Nonlinear Normal Form Systems by Time-Varying Feedback.

IEEE transactions on cybernetics·2026
Same journal

Adaptive Global Asymptotic Output Stabilization of Uncertain Nonlinear Systems Under Dynamic State/Input Quantization.

IEEE transactions on cybernetics·2026
Same journal

Accelerated Distributed Gradient Tracking for Constrained Aggregative Optimization Over Time-Varying Digraphs.

IEEE transactions on cybernetics·2026
Same journal

Small-Gain-Based Plug-and-Play Distributed Control Framework for DC Microgrids With Decentralized Reconfiguration.

IEEE transactions on cybernetics·2026
Same journal

Prescribed-Time Impulsive Control of High-Order Integrator Systems.

IEEE transactions on cybernetics·2026
Same journal

Relaxed Stability Conditions for Model Predictive Control of Hybrid Dynamical Systems Using Hybrid Recurrent Neural Networks.

IEEE transactions on cybernetics·2026
See all related articles

Related Experiment Video

Updated: Jun 17, 2025

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

6.9K

Decomposition-Estimation-Reconstruction: An Automatic and Accurate Neuron Extraction Paradigm.

Peixian Zhuang, Jiangyun Li, Qing Li

    IEEE Transactions on Cybernetics
    |August 6, 2024
    PubMed
    Summary
    This summary is machine-generated.

    We developed a new method for extracting neuron activity from calcium imaging videos. This approach improves accuracy by separating background noise and estimating neuron depth.

    More Related Videos

    Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain
    05:28

    Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain

    Published on: August 9, 2024

    1.0K
    Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites
    07:45

    Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites

    Published on: September 27, 2024

    2.1K

    Related Experiment Videos

    Last Updated: Jun 17, 2025

    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

    6.9K
    Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain
    05:28

    Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain

    Published on: August 9, 2024

    1.0K
    Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites
    07:45

    Author Spotlight: Optimizing Dendritic Spine Analysis for Balanced Manual and Automated Assessment in the Hippocampus CA1 Apical Dendrites

    Published on: September 27, 2024

    2.1K

    Area of Science:

    • Neuroscience
    • Computational Biology
    • Image Analysis

    Background:

    • Calcium imaging is vital for studying neuron activity and coding properties.
    • Existing methods struggle with background noise and depth variations, limiting performance.

    Purpose of the Study:

    • To develop an automatic and accurate paradigm for neuron extraction from calcium imaging data.
    • To overcome limitations of existing methods concerning background interference and depth estimation.

    Main Methods:

    • Introduced the Decomposition-Estimation-Reconstruction (DER) paradigm.
    • D-procedure: Decomposes data into background and neuron signals, using L0-norm priors to reduce artifacts.
    • E-procedure: Estimates depth-dependent neuron signal transmission using channel priors.
    • R-procedure: Integrates depth estimation into non-negative matrix decomposition for accurate neuron localization.

    Main Results:

    • The DER paradigm significantly improved neuron extraction quality.
    • Demonstrated superior performance over state-of-the-art methods in both qualitative and quantitative evaluations.
    • Successfully addressed challenges posed by background scattering and depth variations.

    Conclusions:

    • The DER paradigm offers a robust solution for accurate spatiotemporal neuron activity extraction.
    • This method enhances the analysis of neural coding properties from calcium imaging data.
    • DER provides a significant advancement in analyzing complex neural circuit dynamics.