Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

7.6K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
7.6K
Brain Imaging01:14

Brain Imaging

312
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
312

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

ROS-Responsive Quercetin Nanoparticles Improve the Prognosis of Traumatic Brain Injury by Inhibiting Aberrant Nrf2-Keap1 Signaling Pathway Activation.

Journal of biomedical materials research. Part A·2026
Same author

Prediction of an fMRI-based schizophrenia biomarker from EEG using dynamic functional connectivity: a simultaneous EEG-fMRI study.

Biomedical physics & engineering express·2026
Same author

Association of vehicle emission charging zones with adult emergency hospital admissions: an interrupted time series analysis of the toxicity charge and Ultra Low Emission Zone in London, UK.

Environment international·2026
Same author

A Genetically Engineered Macrophage-Derived Vesicular Nanodecoy Targeting the CD47/SIRPα Axis for Reinforced Tumor Radioimmunotherapy.

ACS nano·2026
Same author

Yeast nucleotide enhances barrier function by regulating the intestinal microbiota and metabolic pathways of fish to alleviate virus-induced intestinal damage.

Marine life science & technology·2026
Same author

A Competency Framework for Medical AI Education: Mixed Methods Study.

JMIR medical education·2026
Same journal

Assessment of skin stiffness in systemic sclerosis using optical coherence elastography: A comparative study with histology and clinical parameters.

IEEE transactions on bio-medical engineering·2026
Same journal

Modeling Dyadic Interdependence in Endocrine Functioning: A Multilevel Machine Learning Study of Adults with Cancer and Their Caregivers.

IEEE transactions on bio-medical engineering·2026
Same journal

A Kalman Filter-Based Framework for Granger Causality Assessment: Application in Tracking Maternal-Fetal Heart Rate Coupling.

IEEE transactions on bio-medical engineering·2026
Same journal

Enhancing Volumetric Imaging in Linear-Array Photoacoustic Tomography: multiview fusion with deep learning.

IEEE transactions on bio-medical engineering·2026
Same journal

Robust Rule-based Heuristic Assistance Strategy for a Semi-Active Shoulder Exoskeleton Used in Overhead Work.

IEEE transactions on bio-medical engineering·2026
Same journal

Highly Accelerated 1-mm Isotropic 3D Chemical Exchange Saturation Transfer MRI Using Wave-Co-CAIPI at 5 Tesla.

IEEE transactions on bio-medical engineering·2026
查看所有相关文章

相关实验视频

Updated: Sep 10, 2025

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

11.8K

有效的超分辨率贝叶斯电磁脑脑成像

Chang Cai, Xinbao Qi, Jing Yan

    IEEE transactions on bio-medical engineering
    |August 19, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种高效的贝叶斯方法,用于超分辨率的大脑成像,提高计算速度和准确性. 这种新方法可以从有限的传感器数据中增强复杂的大脑活动的重建.

    更多相关视频

    Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
    09:25

    Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

    Published on: July 26, 2019

    7.0K
    Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization
    09:57

    Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

    Published on: September 20, 2024

    2.8K

    相关实验视频

    Last Updated: Sep 10, 2025

    Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
    11:28

    Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

    Published on: June 30, 2018

    11.8K
    Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
    09:25

    Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

    Published on: July 26, 2019

    7.0K
    Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization
    09:57

    Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization

    Published on: September 20, 2024

    2.8K

    科学领域:

    • 神经科学是一个神经科学.
    • 生物物理学的生物物理.
    • 计算生物学 计算生物学

    背景情况:

    • 电磁源成像在超分辨率方面面临挑战,原因是从有限的传感器数据中复杂地估计大脑活动.
    • 稀有贝叶斯式学习提供了稳定性,但现有的方法在计算上是低效的,并依赖于任意值.

    研究的目的:

    • 开发一种强大而高效的贝叶斯方法,用于超分辨率的大脑源和噪声重建.
    • 克服当前贝叶斯方法中的计算低效率和任意值的需要.

    主要方法:

    • 引入了贝叶斯式方法,在优化过程中进行超参数修剪,以加速收.
    • 动态删除接近零的超参数以提高计算效率并确定稀疏度比.
    • 在模拟和真实磁脑摄影 (MEG) 数据上验证了算法.

    主要成果:

    • 与基准算法 (beamformers,sLORETA) 相比,实现了统计学上显著的重建精度和运行时间效率.
    • 在高斯和现实世界的噪音条件下成功重建了复杂的大脑源和噪音活动.
    • 在真实MEG数据中,在有限的试验中,证明了不同大脑区域的高效重建.

    结论:

    • 提出的方法为超高分辨率电磁脑成像提供了可行,准确和可靠的解决方案.
    • 超参数修剪提高了计算效率,并消除了对任意值的需求.
    • 该算法在统计学上显示了比已建立的方法显著的性能改进.