Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Dissociable somatotopic representations of Chinese action verbs in the motor and premotor cortex.

Scientific reports·2013
Same author

High quantum-yield CdSexS1-x/ZnS core/shell quantum dots for warm white light-emitting diodes with good color rendering.

Nanotechnology·2013
Same author

A novel microfluidic mixer based on dual-hydrodynamic focusing for interrogating the kinetics of DNA-protein interaction.

The Analyst·2013
Same author

Correlation of reorientational jumps of water molecules in bulk water.

Physical review. E, Statistical, nonlinear, and soft matter physics·2013
Same author

Palladium-catalyzed direct arylation of C-H bond to construct quaternary carbon centers: the synthesis of diarylfluorene.

Organic letters·2013
Same author

Strength and fracture behavior of graphene grain boundaries: effects of temperature, inflection, and symmetry from molecular dynamics.

Physical chemistry chemical physics : PCCP·2013

Related Experiment Video

Updated: Mar 15, 2026

Quality-Controlled Sputum Analysis by Flow Cytometry
07:22

Quality-Controlled Sputum Analysis by Flow Cytometry

Published on: August 9, 2021

6.0K

Evaluating the liquid path stability of a flow cytometer.

Wenchang Zhang1,2,3, Lianqing Zhu4,5, Fan Zhang2,3

  • 1School of Instrumentation Science & Opto-Electronics Engineering, Hefei University of Technology, Hefei, 230009, China.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|September 16, 2016
PubMed
Summary

This study introduces a novel high-speed particle image velocimetry method to assess flow stability in flow cytometers. The technique uses particle trajectory variations to ensure precise cell positioning for accurate flow cytometry analysis.

Keywords:
flow cytometergrey clustering analysishigh-speed image acquisitionparticle velocimetrystability evaluation

More Related Videos

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
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

12.6K

Related Experiment Videos

Last Updated: Mar 15, 2026

Quality-Controlled Sputum Analysis by Flow Cytometry
07:22

Quality-Controlled Sputum Analysis by Flow Cytometry

Published on: August 9, 2021

6.0K
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

1.4K
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

12.6K

Area of Science:

  • Biomedical Engineering
  • Fluid Dynamics
  • Analytical Chemistry

Background:

  • Accurate cell positioning is crucial for flow cytometry precision.
  • Existing methods cannot directly assess flow stability in small flow chambers.
  • Hydrodynamic focusing stability is key for reliable single-cell analysis.

Purpose of the Study:

  • To develop and validate a method for directly evaluating flow and single-cell stability within a flow cytometer's chamber.
  • To address the limitations of current techniques in assessing fluid path stability.
  • To provide a quantitative measure for flow cytometer performance optimization.

Main Methods:

  • High-speed particle image velocimetry (PIV) was employed to analyze particle movement.
  • Side scattering images of particles were captured using a high-speed camera.
  • A grey cluster analysis algorithm and midpoint method were used to track particle trajectories and determine their lengths.

Main Results:

  • The variation in particle trajectory lengths effectively evaluates fluid path stability.
  • Standard deviation and relative standard deviation of trajectory lengths serve as key evaluation indices.
  • Experiments with varying microsphere sizes and flow rates confirmed the method's feasibility.

Conclusions:

  • The proposed high-speed PIV method offers a direct and reliable way to assess flow stability in flow cytometers.
  • This technique can improve the precision and accuracy of flow cytometry by ensuring stable cell positioning.
  • The developed evaluation indices provide a quantitative basis for flow cytometer performance monitoring and enhancement.