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

Flow Cytometry01:23

Flow Cytometry

15.6K
The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
In...
15.6K

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

RoBuster-Corpus Annotated With Risk of Bias Text Spans in Randomized Controlled Trials in Physiotherapy and Rehabilitation: Corpus Development and Annotation Study.

JMIR formative research·2026
Same author

Automatic rib fracture detection on postmortem CT data using deep learning.

International journal of legal medicine·2025
Same author

Author Correction: A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data.

NPJ digital medicine·2025
Same author

TimeFlow: A Density-Driven Pseudotime Method for Flow Cytometry Data Analysis.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2025
Same author

ISB 2001 trispecific T cell engager shows strong tumor cytotoxicity and overcomes immune escape mechanisms of multiple myeloma cells.

Nature cancer·2024
Same author

Recommendations for the Management of Patients with Hairy-Cell Leukemia and Hairy-Cell Leukemia-like Disorders: A Work by French-Speaking Experts and French Innovative Leukemia Organization (FILO) Group.

Cancers·2024
Same journal

A Modular High-Parameter Flow Cytometry Framework: Pre-Analytical Optimization and Validation for Clinical Research.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2026
Same journal

Quantitative Detection of Entotic Cell-In-Cell Structures Using Deformable Segmentation and Deep Learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2026
Same journal

Comparison of Tissue Preparations to Identify and Phenotype T Cells in Human Colorectal Tumor Tissue.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2026
Same journal

Refractive Index-Correlated Pseudocoloring for Adaptive Color Fusion in Holotomographic Cytology.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2026
Same journal

Ensembling Unets for Rare Chromosomal Aberration Detection in Metaphase Images, Uncertainty Quantification, and Ionizing Radiation Dose Estimation.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2026
Same journal

OMIP-121: Immune Phenotyping of Canine Peripheral Leukocytes by Mass Cytometry.

Cytometry. Part A : the journal of the International Society for Analytical Cytology·2026
查看所有相关文章

相关实验视频

Updated: Jan 13, 2026

Temporal Tracking of Cell Cycle Progression Using Flow Cytometry without the Need for Synchronization
08:52

Temporal Tracking of Cell Cycle Progression Using Flow Cytometry without the Need for Synchronization

Published on: August 16, 2015

20.0K

时间流2:用于流细胞计数据的无监督细胞系检测方法.

Margarita Liarou1, Thomas Matthes2,3, Stéphane Marchand-Maillet1

  • 1Department of Computer Science, University of Geneva, Carouge, Switzerland.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
|January 8, 2026
PubMed
概括
此摘要是机器生成的。

时间流2从静态流细胞计数据中推断出细胞分化的途径,而没有事先的知识. 这种方法准确地模拟细胞系和标记器动态,优于现有的工具.

关键词:
骨髓数据 骨髓数据细胞分化的细胞分化.流动细胞计量是流动细胞计量的方法.最佳的运输最佳的运输.路径聚类路径聚类伪时间分析分析.轨迹推断的推断是指轨迹的推断.

更多相关视频

Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells
10:20

Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells

Published on: March 24, 2023

2.1K
Identification Of Erythromyeloid Progenitors And Their Progeny In The Mouse Embryo By Flow Cytometry
08:59

Identification Of Erythromyeloid Progenitors And Their Progeny In The Mouse Embryo By Flow Cytometry

Published on: July 17, 2017

13.5K

相关实验视频

Last Updated: Jan 13, 2026

Temporal Tracking of Cell Cycle Progression Using Flow Cytometry without the Need for Synchronization
08:52

Temporal Tracking of Cell Cycle Progression Using Flow Cytometry without the Need for Synchronization

Published on: August 16, 2015

20.0K
Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells
10:20

Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells

Published on: March 24, 2023

2.1K
Identification Of Erythromyeloid Progenitors And Their Progeny In The Mouse Embryo By Flow Cytometry
08:59

Identification Of Erythromyeloid Progenitors And Their Progeny In The Mouse Embryo By Flow Cytometry

Published on: July 17, 2017

13.5K

科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 系统生物学 系统生物学

背景情况:

  • 细胞谱系检测对于理解细胞分化至关重要.
  • 现有的方法往往需要先前的知识或时间数据.
  • 大流量细胞测量数据集为谱系推断带来了计算挑战.

研究的目的:

  • 开发一种新的计算方法,TimeFlow 2,用于细胞谱系推断.
  • 为了从静态的,无序的流动细胞计数据中进行血统检测.
  • 准确地建模细胞分化路径和标记物动态.

主要方法:

  • 时间流2利用细胞排序,并在伪时段定义粗细胞状态.
  • 它构建了细胞状态路径,并使用基于运输的最佳成本函数将它们分组起来.
  • 该方法应用于健康的骨髓样本,并与已知技术进行比较.

主要成果:

  • 时间流2准确地将单细胞,中性粒细胞,红细胞和B细胞分配给不同的分化途径.
  • 在多名患者中,推断的标志物动态显示了对应血统的高相关性.
  • 时间流2在流细胞计数据上表现出卓越的性能,在质细胞计数据上表现出竞争力.

结论:

  • 时间流2为细胞谱系推断提供了一个强大的,数据驱动的方法.
  • 该方法促进了跨多种细胞系的标记物动态的建模和比较.
  • 可访问的源代码和教程支持在生物研究中采用TimeFlow 2.