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

915
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...
915

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

Toward Graph-Based Decoding of Tumor Evolution: Spatial Inference of Copy Number Variations.

Diagnostics (Basel, Switzerland)·2025
Same author

FVC as an adaptive and accurate method for filtering variants from popular NGS analysis pipelines.

Communications biology·2022
Same author

The metabolic effect of gut microbiota on drugs.

Drug metabolism reviews·2020
Same author

Population-based preference weights for the Adult Social Care Outcomes Toolkit (ASCOT) for service users for Austria: Findings from a best-worst experiment.

Social science & medicine (1982)·2020
Same author

Dissymmetric On-Surface Dehalogenation Reaction Steered by Preformed Self-Assembled Structure.

The journal of physical chemistry letters·2020
Same author

Exosomes mediate intercellular transfer of non-autonomous tolerance to proteasome inhibitors in mixed-lineage leukemia.

Cancer science·2020

相关实验视频

Updated: May 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

13.3K

生物力学驱动的3D架构从组织学中推断使用CellSqueeze3D.

Yan Kong1,2, Hui Lu1,3,2

  • 1SJTU-Yale Joint Center for Biostatistics and Data Science, National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|December 5, 2025
PubMed
概括

细胞Squeeze3D从二维图像中重建3D细胞结构,克服了计算病理学的局限性. 这种基于3D信息的方法增强了细胞分析,并预测了基因突变状态.

关键词:
三维重建的3D重建生物机械约束 生物机械约束细胞挤压 细胞挤压计算历史学 计算历史学粒子集群优化 粒子集群优化

更多相关视频

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization
06:33

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization

Published on: October 29, 2019

10.6K
Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation
12:59

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Published on: February 28, 2021

4.1K

相关实验视频

Last Updated: May 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

13.3K
Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization
06:33

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization

Published on: October 29, 2019

10.6K
Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation
12:59

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Published on: February 28, 2021

4.1K

科学领域:

  • 计算病理学计算病理学
  • 生物医学图像分析
  • 量化组织表型化 组织表型化

背景情况:

  • 传统的2D分析用血素和色素 (H&E) 染色图像受到组织厚度的限制,导致细胞边界模糊.
  • 细胞重叠和2D投影中的形态变化阻碍了准确的细胞大小和分布分析.

研究的目的:

  • 开发CellSqueeze3D,这是一个计算框架,用于从单个H&E染色组织段中重建3D细胞空间分布和大小.
  • 为了利用二维细胞压缩保留三维几何的原则,为准确的细胞重建提供了充分的优势.
  • 通过利用3D空间信息来增强计算病理学和定量组织表型.

主要方法:

  • 细胞Squeeze3D采用了混合粒子优化 (PSO) 方法与生物力学约束.
  • 该框架从二维H&E图像中推断出生物学上可信的3D细胞重建.
  • 验证涉及比较衍生的核与细胞质 (N / C) 比率并评估分类器的性能.

主要成果:

  • 从预测的细胞半径来看,N/C比率的分布与随机分配有显著差异 (p = 1.39e-80).
  • 使用预测细胞边界的3D信息细胞分类器超越了传统方法,显示AUC增加了0.136和0.069.
  • 来自CellSqueeze3D的形态指标显示了与基因表达模式和预后见解的强烈关联.
  • 细胞和核大小指数预测了TCGA队列中21个基因的突变状态,平均AUROC>0.65.

结论:

  • 从单个组织切片中充分利用3D空间信息显著增强了计算病理学.
  • CellSqueeze3D提供了一种用于准确定量组织表型化的新方法.
  • 该框架提供了预后见解,并改善了对遗传突变状态的预测.