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

12.3K
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...
12.3K

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

Functional and morphological alterations of light detection circuits in postmortem retina from donors with different stages of Alzheimer's-like pathology.

Communications biology·2026
Same author

[Artificial light at night].

Ugeskrift for laeger·2026
Same author

Lateral septal PACAP signaling regulates stress and anxiety reactions.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology·2026
Same author

Measurements of plasma melatonin by rapid LC-MS/MS enables insight into diurnal variation in healthy humans.

Scandinavian journal of clinical and laboratory investigation·2026
Same author

Bed Nucleus of the Stria Terminalis PACAP Signaling in the Dorsal Medial Habenula Mediates Depression-Related Behavioral Responses After Chronic Stress.

Biological psychiatry·2025
Same author

Temporal variation in circulating GDF15 over 24 h in healthy young males.

Physiological reports·2025

相关实验视频

Updated: Jun 7, 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

FlowDiff:一种基于流细胞计的简单方法,用于执行白细胞差异计数.

Konstantinos Dimopoulos1, Delphine Bonneau1, Jens Hannibal1,2

  • 1Department of Clinical Biochemistry, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.

Scandinavian journal of clinical and laboratory investigation
|November 16, 2024
PubMed
概括
此摘要是机器生成的。

FlowDiff是一个8色的流细胞计画面板,为手动白细胞差异计数提供了一个快速而准确的替代方案. 这种方法表现出高的诊断准确性,成功地识别出各种血液性恶性瘤.

关键词:
差异性白细胞计数是白细胞的不同计数.集群的分化标记的集群.流动细胞计量是流动细胞计量的方法.血液学 血液学 血液学

更多相关视频

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities
09:57

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Published on: July 12, 2018

11.9K
A Flow Cytometry-based Assay to Identify Compounds That Disrupt Binding of Fluorescently-labeled CXC Chemokine Ligand 12 to CXC Chemokine Receptor 4
06:56

A Flow Cytometry-based Assay to Identify Compounds That Disrupt Binding of Fluorescently-labeled CXC Chemokine Ligand 12 to CXC Chemokine Receptor 4

Published on: March 10, 2018

13.6K

相关实验视频

Last Updated: Jun 7, 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
Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities
09:57

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Published on: July 12, 2018

11.9K
A Flow Cytometry-based Assay to Identify Compounds That Disrupt Binding of Fluorescently-labeled CXC Chemokine Ligand 12 to CXC Chemokine Receptor 4
06:56

A Flow Cytometry-based Assay to Identify Compounds That Disrupt Binding of Fluorescently-labeled CXC Chemokine Ligand 12 to CXC Chemokine Receptor 4

Published on: March 10, 2018

13.6K

科学领域:

  • 血液学 血液学 血液学
  • 免疫型定型 免疫型定型
  • 临床病理学 临床病理学

背景情况:

  • 手动白细胞差异计数是耗时且主观的.
  • 流细胞计为细胞分析提供了更客观,更有效的方法.

研究的目的:

  • 开发和验证FlowDiff,一个8色的流细胞计画面板,作为手动白细胞微分计数的替代品.
  • 评估FlowDiff在识别各种白细胞群和血液恶性瘤方面的诊断准确性.

主要方法:

  • 开发一个单管,8色流动细胞计画面板 (FlowDiff).
  • 采用了一种染色-色无洗协议 (大约. 30分钟的工作时间).
  • 在正常和异常样本中,比较了FlowDiff结果与Sysmex XN分析仪和手动差异.

主要成果:

  • 在正常样本中,FlowDiff和Sysmex XN之间有很好的相关性.
  • 非常好的相关性和高的诊断准确性与手动差异在异常样本.
  • 精确识别急性白血病和B型淋巴瘤;检测以前未被诊断的B型淋巴瘤.

结论:

  • FlowDiff是一种可靠和准确的白细胞差异计数方法.
  • 在临床实验室中,FlowDiff可以成功地取代手动微分计数.
  • 八色流细胞计画面板提供了更高的效率和诊断能力.