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

12.9K
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...
12.9K

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

Revolutionizing physical education in China: A cross-sectional structural equation modeling study on digital health innovations, psychological well-being, and cognitive performance.

Journal of health psychology·2026
Same author

A Tree Perspective on Stick-Breaking Models in Covariate-Dependent Mixtures (with Discussion).

Bayesian analysis·2026
Same author

Coarsened Mixtures of Hierarchical Skew Normal Kernels for Flow and Mass Cytometry Analyses.

Bayesian analysis·2026
Same author

A transcriptomics-native foundation model for universal cell representation and virtual cell synthesis.

bioRxiv : the preprint server for biology·2026
Same author

Polygenic risk scores and HLA class II variants are biomarkers of corticosteroid response in childhood nephrotic syndrome.

Kidney international·2026
Same author

Profiling Allogeneic HLA-specific B-cell Responses Utilizing a 64-plex Single-HLA Reporter Cell Panel.

bioRxiv : the preprint server for biology·2026
Same journal

Inference on summaries of a model-agnostic longitudinal variable importance trajectory with application to suicide prevention.

The annals of applied statistics·2026
Same journal

A NOVEL BAYESIAN FRAMEWORK UNCOVERING BRAIN CONNECTIVITY-TO-SHAPE RELATIONSHIP IN PRECLINICAL ALZHEIMER'S DISEASE.

The annals of applied statistics·2026
Same journal

EVALUATING MULTIPLEX DIAGNOSTIC TEST USING PARTIALLY ORDERED BAYES CLASSIFIER.

The annals of applied statistics·2026
Same journal

BRIDGING THE GAP: ENHANCING THE GENERALIZABILITY OF EPIGENETIC CLOCKS THROUGH TRANSFER LEARNING.

The annals of applied statistics·2026
Same journal

TREATMENT EFFECT HETEROGENEITY AND IMPORTANCE MEASURES FOR MULTIVARIATE CONTINUOUS TREATMENTS.

The annals of applied statistics·2026
Same journal

FEDERATED LEARNING OF ROBUST INDIVIDUALIZED DECISION RULES WITH APPLICATION TO HETEROGENEOUS MULTIHOSPITAL SEPSIS POPULATION.

The annals of applied statistics·2026
查看所有相关文章

相关实验视频

Updated: Jun 26, 2025

Multicolor Flow Cytometry-based Quantification of Mitochondria and Lysosomes in T Cells
06:22

Multicolor Flow Cytometry-based Quantification of Mitochondria and Lysosomes in T Cells

Published on: January 9, 2019

13.0K

团队:在聚合树上的多重测试算法用于流量细胞计分析.

John A Pura1, Xuechan Li2, Cliburn Chan2

  • 1Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans AfFaIRS MediCal Center, Durham, NC 27701.

The annals of applied statistics
|May 13, 2024
PubMed
概括
此摘要是机器生成的。

一种名为TEAM (聚合树测试方法) 的新方法有效地识别了在流细胞计数据中对刺激做出反应的免疫细胞. 这种算法控制了错误发现率,并提供了对细胞反应的强大洞察力.

关键词:
流动细胞计量流动细胞计量聚合树是一个聚合树.分布差异的分配差异是一个问题.虚假发现比例 (FDP)多次测试多次测试多次测试

更多相关视频

Author Spotlight: Advancing Research in Microbial Autoaggregation Using Imaging Flow Cytometry
05:19

Author Spotlight: Advancing Research in Microbial Autoaggregation Using Imaging Flow Cytometry

Published on: September 29, 2023

739
Assembly and Quantification of Co-Cultures Combining Heterotrophic Yeast with Phototrophic Sugar-Secreting Cyanobacteria
05:44

Assembly and Quantification of Co-Cultures Combining Heterotrophic Yeast with Phototrophic Sugar-Secreting Cyanobacteria

Published on: December 27, 2024

752

相关实验视频

Last Updated: Jun 26, 2025

Multicolor Flow Cytometry-based Quantification of Mitochondria and Lysosomes in T Cells
06:22

Multicolor Flow Cytometry-based Quantification of Mitochondria and Lysosomes in T Cells

Published on: January 9, 2019

13.0K
Author Spotlight: Advancing Research in Microbial Autoaggregation Using Imaging Flow Cytometry
05:19

Author Spotlight: Advancing Research in Microbial Autoaggregation Using Imaging Flow Cytometry

Published on: September 29, 2023

739
Assembly and Quantification of Co-Cultures Combining Heterotrophic Yeast with Phototrophic Sugar-Secreting Cyanobacteria
05:44

Assembly and Quantification of Co-Cultures Combining Heterotrophic Yeast with Phototrophic Sugar-Secreting Cyanobacteria

Published on: December 27, 2024

752

科学领域:

  • 免疫学 免疫学 免疫学
  • 计算生物学 计算生物学
  • 生物统计学 生物统计学

背景情况:

  • 流细胞计是免疫学中分析免疫细胞反应的关键单细胞检测方法.
  • 识别刺激反应细胞包括比较蛋白质表达概率密度函数 (pdfs) 在刺激前后.
  • 检测差异性pdf对于精确确定响应性细胞种群至关重要.

研究的目的:

  • 开发一种新的,计算效率高的方法,用于识别流细胞计数据中的差异密度区域.
  • 引入TEAM (聚合树测试方法) 以进行强大的多重测试和错误发现率 (FDR) 控制.
  • 确定免疫细胞对刺激的反应,具有高的统计能力和生物解释性.

主要方法:

  • 将样本空间划分为容器,以形成差异 pdfs 的假设.
  • 实施TEAM,一种使用聚合树进行细粗分辨率测试的多重测试方法.
  • 控制错误发现率 (FDR),以确保可靠地识别差异区域.

主要成果:

  • 团队成功地发现了对细胞巨病毒 (CMV) -pp65抗原刺激有反应的T细胞.
  • 该方法确定了丰富的单功能,双功能和多功能T细胞集.
  • TEAM展示了计算效率,比竞争方法更快地分析大型数据集,具有有效,强大和稳健的性能.

结论:

  • TEAM是一个统计强大,计算高效的算法,用于流细胞计数据分析.
  • 该方法通过准确识别响应性免疫细胞种群,提供了有意义的生物学见解.
  • TEAM在分析复杂的单细胞数据以进行免疫学研究方面取得了重大进展.