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

An epifluorescence microscope design for naturalistic behavior and cellular activity in freely moving Caenorhabditis elegans.

Nature communications·2026
Same author

The impact of rearing environment on C. elegans: phenotypic, transcriptomic and intergenerational responses to 3D enriched habitats.

Biology open·2026
Same author

The impact of rearing environment on <i>C. elegans</i>: Phenotypic, transcriptomic and intergenerational responses to 3D enriched habitats.

bioRxiv : the preprint server for biology·2025
Same author

<i>C. elegans</i> does a spit take.

eLife·2021
Same author

A three-dimensional habitat for C. elegans environmental enrichment.

PloS one·2021
Same author

A Gate-and-Switch Model for Head Orientation Behaviors in <i>Caenorhabditis elegans</i>.

eNeuro·2019

相关实验视频

Updated: Sep 9, 2025

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development
06:49

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development

Published on: October 29, 2019

6.8K

大视野模型框架用于自动化的C. 优雅分析:从静态形态测量到动态神经活动

Aurélie Guisnet1, Michael Hendricks1

  • 1Department of Biology, McGill University, Montreal, Quebec, Canada.

bioRxiv : the preprint server for biology
|September 2, 2025
PubMed
概括

TWARDIS使用人工智能自动化Caenorhabditis elegans图像分析,克服了传统方法的局限性,在形态,行为和神经成像方面实现更快,更公正的表型.

科学领域:

  • 计算生物学
  • 神经科学
  • 发育生物学

背景情况:

  • 对于Caenorhabditis elegans的定量表型是至关重要的,但由于数据提取的瓶而受到阻碍.
  • 传统的分段方法难以处理图像变化 (噪音,重叠,照明),需要大量的手工工作或专用设备.

研究的目的:

  • 介绍TWARDIS (虫自动识别和动态成像系统工具),这是一个基于人工智能的Python套件,用于自动化C. elegans图像分析.
  • 在静态,行为和神经成像模式中展示TWARDIS的强度和多功能性.

主要方法:

  • 借助大型基础视觉模型 (细分任何模型-SAM和SAM2) 和微调视觉转换器分类器.
  • 开发了一个基于Python的模块化分析套件,用于自动化细分和表型化.
  • 通过静态形态,游泳/爬行行为和成像进行验证.

主要成果:

  • 在静态形态上实现了0.999的相关性,解决了噪音图像中的重叠虫.
  • 在低分辨率的行为记录中实现高清姿态分析,
  • 在成像数据中提供精确的神经区分和精确的头部位置提取.

结论:

更多相关视频

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform
07:20

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

Published on: November 28, 2018

9.3K
Quantitative Approaches for Studying Cellular Structures and Organelle Morphology in Caenorhabditis elegans
08:47

Quantitative Approaches for Studying Cellular Structures and Organelle Morphology in Caenorhabditis elegans

Published on: July 5, 2019

9.8K

相关实验视频

Last Updated: Sep 9, 2025

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development
06:49

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development

Published on: October 29, 2019

6.8K
Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform
07:20

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

Published on: November 28, 2018

9.3K
Quantitative Approaches for Studying Cellular Structures and Organelle Morphology in Caenorhabditis elegans
08:47

Quantitative Approaches for Studying Cellular Structures and Organelle Morphology in Caenorhabditis elegans

Published on: July 5, 2019

9.8K
  • TWARDIS有效地自动化复杂的C. elegans图像分析,消除了关键的瓶和权衡.
  • 人工智能系统提高了吞吐量,并减少了各种研究应用中的表型偏差.
  • TWARDIS的模块化和可扩展的设计支持目前的可访问性和C. elegans研究的未来进展.