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

17.0K
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...
17.0K

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

Estimating particle size and velocity from fluorescence pulses: A practical validation study of flow cytometry signals analysis.

PloS one·2026
Same author

Estimating single-cell elastic modulus in a serial microfluidic cytometer from time-of-flight and fluorescence signals analysis.

Lab on a chip·2026
Same author

Per-Event Uncertainty Quantification for Flow Cytometry Using Calibration Beads.

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

Uncertainty Quantification of Fluorescence Signals in Flow Cytometry Part I: An Analytical Perspective Beyond Q and B.

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

Uncertainty Quantification of Fluorescence Signals for Cytometry Part II: Comparison of Serial and Traditional Flow Cytometers.

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

Photolysis of the peptide bond at 193 and 222 nm.

The Journal of chemical physics·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Mar 15, 2026

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

10.8K

在序列流细胞计中使用振幅调制进行空间编码.

Eric W Esch1,2, Matthew DiSalvo1, Megan A Catterton1

  • 1Microsystems and Nanotechnology Division, US National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.

Sensors (Basel, Switzerland)
|March 14, 2026
PubMed
概括
此摘要是机器生成的。

幅度调制 (AM) 串行流量细胞计简化了芯片设计,通过使用每个区域的独特频率,使得更少的检测器能够准确地量化测量不确定性. 这种先进的方法实现了与传统的序列细胞计相比较的高保真性.

关键词:
幅度调制调制的幅度调制.处理数字信号,处理数字信号.快速的里埃转换是什么微流体学 在微流体学方面多重复杂的多重复杂.光流体学是指光流体学.序列细胞测量是一系列的细胞测量.不确定性量化不确定性量化

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

1.4K
Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data
09:09

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

Published on: December 17, 2015

10.2K

相关实验视频

Last Updated: Mar 15, 2026

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

10.8K
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

1.4K
Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data
09:09

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

Published on: December 17, 2015

10.2K

科学领域:

  • 生物医学工程 生物医学工程
  • 分析化学 分析化学
  • 微流体学 微流体学

背景情况:

  • 序列流细胞计估计测量不确定性,但需要复杂的设备和检测器同步.
  • 光源和探测器的复制增加了复杂性和成本.

研究的目的:

  • 在序列流细胞计中引入振幅调制 (AM) 进行解复信号.
  • 设计和验证一个AM串行流量细胞计,以提高效率和减少硬件.
  • 为了在串行细胞计量中实现可靠的不确定性量化和时间分析.

主要方法:

  • 将每个区域编码为一个独特的载波频率,用于使用快速里埃转换 (FFT) 来进行信号解复.
  • 设计一个微流体AM串行流量细胞计,并行地面真相和AM检测通道.
  • 评估指标,包括事件检测,动态范围,重叠检测,解码精度,收益率和不确定性量化.

主要成果:

  • 该AM序列细胞计表现出高可靠性性能,分析了超过97%的可检测事件.
  • 平均不精确度在0.53%至2.1%之间,与传统方法相比较.
  • 通过AM细胞测量实现了精确的区域解码和不确定性量化,即使光线强度降低.

结论:

  • 序列流细胞计简化了芯片设计,并减少了所需的光检测器的数量.
  • 该方法支持高精度的不确定性量化和时间分析.
  • 亚米细胞计为串行流量分析提供了一种更有效和潜在的成本效益的方法.