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

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

Multi-omics integration in deciphering non-small cell lung cancer drug resistance: current status, challenges, and future prospects.

Hereditas·2026
Same author

Precise Control of Micropipette Flow Rate for Fluorescence Imaging in In Vivo Micromanipulation.

Sensors (Basel, Switzerland)·2025
Same author

Towards a better understanding of structural-functional relationships in the forest soil microbiota. Reply to comments on "Topological change of soil microbiota networks for forest resilience under global warming".

Physics of life reviews·2025
Same author

Robotic Fast Patch Clamp in Brain Slices Based on Stepwise Micropipette Navigation and Gigaseal Formation Control.

Sensors (Basel, Switzerland)·2025
Same author

Unveiling the genetic networks: Exploring the dynamic interaction of photosynthetic phenotypes in woody plants across varied light gradients.

Plant physiology and biochemistry : PPB·2025
Same author

Exploiting light energy utilization strategies in Populus simonii through multitrait-GWAS: insights from stochastic differential models.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2024

相关实验视频

Updated: Jul 13, 2025

Application of Automated Image-guided Patch Clamp for the Study of Neurons in Brain Slices
09:05

Application of Automated Image-guided Patch Clamp for the Study of Neurons in Brain Slices

Published on: July 31, 2017

11.6K

基于管道精确定位的神经元接触检测,用于机器人大脑切片补丁紧固件.

Ke Li1,2, Huiying Gong1,2, Jinyu Qiu1,2

  • 1Institute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin 300350, China.

Sensors (Basel, Switzerland)
|October 14, 2023
PubMed
概括

这项研究引入了一种改进的自动补丁方法,用于增强神经元细胞接触. 这种新技术增加了在补丁实验中管管接触的成功率,推动了离子通道研究.

关键词:
神经元接触神经元接触管道的精确定位.机器人补丁紧 机器人补丁紧

更多相关视频

Juxtacellular Monitoring and Localization of Single Neurons within Sub-cortical Brain Structures of Alert, Head-restrained Rats
08:41

Juxtacellular Monitoring and Localization of Single Neurons within Sub-cortical Brain Structures of Alert, Head-restrained Rats

Published on: April 27, 2015

11.5K
Preparation of Acute Brain Slices Using an Optimized N-Methyl-D-glucamine Protective Recovery Method
10:53

Preparation of Acute Brain Slices Using an Optimized N-Methyl-D-glucamine Protective Recovery Method

Published on: February 26, 2018

46.5K

相关实验视频

Last Updated: Jul 13, 2025

Application of Automated Image-guided Patch Clamp for the Study of Neurons in Brain Slices
09:05

Application of Automated Image-guided Patch Clamp for the Study of Neurons in Brain Slices

Published on: July 31, 2017

11.6K
Juxtacellular Monitoring and Localization of Single Neurons within Sub-cortical Brain Structures of Alert, Head-restrained Rats
08:41

Juxtacellular Monitoring and Localization of Single Neurons within Sub-cortical Brain Structures of Alert, Head-restrained Rats

Published on: April 27, 2015

11.5K
Preparation of Acute Brain Slices Using an Optimized N-Methyl-D-glucamine Protective Recovery Method
10:53

Preparation of Acute Brain Slices Using an Optimized N-Methyl-D-glucamine Protective Recovery Method

Published on: February 26, 2018

46.5K

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.
  • 生物技术是生物技术.

背景情况:

  • 补丁是离子通道研究的黄金标准,但复杂且严重依赖专业知识.
  • 现有的自动补丁系统在复杂的生物环境中缺乏稳定性,导致错误和较低的成功率.
  • 自动化管管头和神经元细胞接触对于提高补丁实验效率至关重要.

研究的目的:

  • 开发一种可靠的方法,用于在自动化补丁系统中精确定位管管尖和接触判断.
  • 为了提高管管尖和神经元细胞之间建立联系的成功率.
  • 在复杂的微观环境中解决现有的自动补丁系统的局限性.

主要方法:

  • 使用高斯混合 (MOG) 算法进行运动检测,以精确定位管管尖.
  • 采用物体检测模型来完善管管尖局部化和识别神经元细胞边界框架.
  • 开发了一种多任务网络 (CU-net),用于在复杂环境中对管道尖端进行焦点检测.
  • 对于自动接触传感过程的集成电阻约束.

主要成果:

  • 使用MOG和扫描线算法精确地定位管道尖端.
  • 成功识别了神经元细胞边界框架和最佳焦点平面.
  • 在复杂的细胞环境中,CU-net有效地判断了管管尖的焦点.
  • 拟议的方法显著提高了与神经元细胞进行管管接触的成功率.

结论:

  • 开发的方法为自动化补丁系统中精确的管管细胞接触提供了强大的解决方案.
  • 这一进步可以提高离子通道生物物理学和药理学研究的可靠性和效率.
  • 集成先进的算法和传感过程克服了自动补丁自动化的关键挑战.