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

Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...

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

Mesoglea biogenesis reveals a cryptic aboral valve for pressure regulation in cnidarian morphogenesis.

Science advances·2026
Same author

Morphogenesis of moss leaf-like organs through variations in deeply shared developmental principles.

Science advances·2026
Same author

Growth history leaves a geometric trace in puzzle cells.

EMBO reports·2026
Same author

Evolution of repressive sequences within an enhancer contributed to morphological diversity in crucifer plants.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Cell growth rates coordinate across the width of the leaf to remain flat.

bioRxiv : the preprint server for biology·2025
Same author

Screening for Tumor Microtube-Targeting Drugs Identifies PKC Modulators as Multipotent Inhibitors of Glioblastoma Progression.

Cancer discovery·2025

相关实验视频

Updated: Jun 5, 2026

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

12.7K

一个基于深度学习的工具包,用于在细胞和组织环境中对3D核进行细分和定量分析.

Athul Vijayan1, Tejasvinee Atul Mody1, Qin Yu2,3

  • 1Plant Developmental Biology, TUM School of Life Sciences, Technical University of Munich, Freising 85354, Germany.

Development (Cambridge, England)
|July 22, 2024
PubMed
概括

我们开发了用于数字器官中精确的3D核细分的计算工具. 我们的模型和数据集帮助研究人员分析植物和动物组织,提高细胞细分的准确性.

关键词:
阿拉比多普西斯 (Arabidopsis) 是一种植物.3D数字器官是什么?3D核细分3D核细分是指三维的核细分.一个巨大的卵子.植物细胞 植物细胞植物 植物 植物 植物星际距离 星际距离

更多相关视频

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

8.7K
Using Computer Vision Libraries to Streamline Nuclei Quantification
06:25

Using Computer Vision Libraries to Streamline Nuclei Quantification

Published on: June 6, 2025

115

相关实验视频

Last Updated: Jun 5, 2026

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

12.7K
Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

8.7K
Using Computer Vision Libraries to Streamline Nuclei Quantification
06:25

Using Computer Vision Libraries to Streamline Nuclei Quantification

Published on: June 6, 2025

115

科学领域:

  • * 生物学 * 生物学
  • * 计算生物学 * 计算生物学
  • * 显微镜的使用

背景情况:

  • *精确的核的3D细分对于理解复杂生物组织中的细胞结构和功能至关重要.
  • *现有的计算工具往往需要广泛的定制或缺乏适用于各种样本类型和成像条件的适用性.
  • *对3D数字器官的高级分析需要强大的核细分和与细胞环境集成的强大方法.

研究的目的:

  • * 开发和验证用于各种生物样本中精确的3D核细分的多功能计算框架.
  • * 创建高质量的,可重复使用的模型和数据集,用于培训和应用3D核细分算法.
  • * 增强3D图像分析软件,以改善数字器官中的细胞和核细分和分析.

主要方法:

  • * 开发了3D核细分模型的地面真相生成方法和代训练策略.
  • *使用定制训练模型应用和微调流行的算法 (CellPose,PlantSeg,StarDist).
  • * 在MorphoGraphX中整合了3D细分核与周围细胞,并通过校对工具扩展了PlantSeg.

主要成果:

  • * 提供了两种高质量的3D核细分模型,适用于具有多种染色的固定/活植物和动物组织.
  • *共享了大约1万个核的综合训练数据集.
  • * 证明细胞核与细胞体积比因卵子组织和发育阶段而异.
  • * 增强的MorphoGraphX用于将细胞核与细胞结合起来,并改进了PlantSeg,使用了核种子细胞细分校正工具.

结论:

  • *开发的计算工具和模型显著提高了3D核细分在各种生物环境中的准确性和适用性.
  • *共享的数据集和增强的软件可在3D数字器官中对细胞和核形态进行先进的定量分析.
  • * 这项工作为研究组织发育,细胞动力学和植物和动物的核组织的研究人员提供了宝贵的资源.