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

Neuron Structure01:30

Neuron Structure

17.7K
Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to...
17.7K
Neuron Structure01:31

Neuron Structure

230.5K
Overview
230.5K

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

Mechanical interactions govern self-organized ordering in bacterial colonies on surfaces.

Physical biology·2026
Same author

Kinesin-Induced Buckling Reveals the Limits of Microtubule Self-Repair.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Alternatively spliced STIM2.3 is an evolutionarily late store-operated Ca2+ entry regulator expressed in brain.

Journal of cell science·2026
Same author

Targeting store-operated Ca<sup>2+</sup> entry as a novel strategy to overcome treatment resistance in melanoma.

Biochimica et biophysica acta. Reviews on cancer·2026
Same author

Sigma B regulated motility and chemotaxis in <i>Bacillus cereus</i>.

Microbiology (Reading, England)·2026
Same author

Inferring tree structure with hidden traps from first-passage times.

Physical review. E·2025

相关实验视频

Updated: Jan 11, 2026

Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

2.3K

通过第一通道分析追踪神经元树突的形态演变.

Fabian H Kreten1, Barbara A Niemeyer2, Ludger Santen1

  • 1Department of Theoretical Physics, Saarland University, Saarbrücken, Germany; Center for Biophysics, Saarland University, Saarbrücken, Germany.

Biophysical journal
|November 9, 2025
PubMed
概括

这项研究引入了一种新的非侵入性方法,用于分析神经退行性疾病中的树突形态. 它从追踪信号特征推断出结构变化,有助于疾病监测.

更多相关视频

Analyzing Dendritic Morphology in Columns and Layers
08:41

Analyzing Dendritic Morphology in Columns and Layers

Published on: March 23, 2017

9.8K
Time-lapse Live Imaging and Quantification of Fast Dendritic Branch Dynamics in Developing Drosophila Neurons
08:23

Time-lapse Live Imaging and Quantification of Fast Dendritic Branch Dynamics in Developing Drosophila Neurons

Published on: September 25, 2019

6.6K

相关实验视频

Last Updated: Jan 11, 2026

Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

2.3K
Analyzing Dendritic Morphology in Columns and Layers
08:41

Analyzing Dendritic Morphology in Columns and Layers

Published on: March 23, 2017

9.8K
Time-lapse Live Imaging and Quantification of Fast Dendritic Branch Dynamics in Developing Drosophila Neurons
08:23

Time-lapse Live Imaging and Quantification of Fast Dendritic Branch Dynamics in Developing Drosophila Neurons

Published on: September 25, 2019

6.6K

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:

  • 神经元树突表现出复杂的结构,对神经系统功能至关重要.
  • 神经退行性疾病改变树突形态,影响神经计算.
  • 目前的非侵入性方法不足以及时评估树突结构.

研究的目的:

  • 开发一种非侵入性的理论框架,以推断与神经退行性疾病相关的树突形态特征.
  • 将复杂的树突结构与可测量的信号联系起来,用于疾病监测.

主要方法:

  • 一个使用第一通道分析的随机粗粒度框架.
  • 从追踪信号统计数据中推断树状特征 (脊柱密度/大小,树幅度,轴径).
  • 通过复杂的树突结构进行扩散性痕迹通道的分析.

主要成果:

  • 该框架成功地推断出关键的树突形态参数.
  • 证明了跟踪信号特征与树突结构之间的理论联系.
  • 建立了评估神经退行变化的非侵入性方法.

结论:

  • 拟议的方法提供了一种非侵入性途径,用于评估神经退行性疾病中的树突形态.
  • 这种方法可以实现疾病监测的实际,外部可检测的读数.
  • 促进神经退行性疾病研究的实验实施.