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

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...

You might also read

Related Articles

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

Sort by
Same author

Reducing complement activation during sleep deprivation yields cognitive improvement by dexmedetomidine.

British journal of anaesthesia·2023
Same author

Dexmedetomidine Improves Anxiety-like Behaviors in Sleep-Deprived Mice by Inhibiting the p38/MSK1/NFκB Pathway and Reducing Inflammation and Oxidative Stress.

Brain sciences·2023
Same author

Erratum: Complete head cerebral sensitivity mapping for diffuse correlation spectroscopy using subject-specific magnetic resonance imaging models: errata.

Biomedical optics express·2023
Same author

Efficacy analysis of empirical bismuth quadruple therapy, high-dose dual therapy, and resistance gene-based triple therapy as a first-line <i>Helicobacter pylori</i> eradication regimen - An open-label, randomized trial.

Open medicine (Warsaw, Poland)·2023
Same author

Pulmonary interleukin 1 beta/serum amyloid A3 axis promotes lung metastasis of hepatocellular carcinoma by facilitating the pre-metastatic niche formation.

Journal of experimental & clinical cancer research : CR·2023
Same author

Legionella pneumonia complicated with rhabdomyolysis and acute kidney injury diagnosed by metagenomic next-generation sequencing: a case report.

World journal of emergency medicine·2023

Related Experiment Video

Updated: May 11, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

A microfluidic system for cell type classification based on cellular size-independent electrical properties.

Yang Zhao1, Deyong Chen, Yana Luo

  • 1State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, PR China.

Lab on a Chip
|May 4, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a microfluidic system for cell classification using electrical properties like specific membrane capacitance and cytoplasm conductivity. The technique successfully differentiated two lung cancer cell lines based on these unique biophysical markers.

More Related Videos

Separating Beads and Cells in Multi-channel Microfluidic Devices Using Dielectrophoresis and Laminar Flow
09:45

Separating Beads and Cells in Multi-channel Microfluidic Devices Using Dielectrophoresis and Laminar Flow

Published on: February 4, 2011

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells
15:41

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells

Published on: October 15, 2013

Related Experiment Videos

Last Updated: May 11, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Separating Beads and Cells in Multi-channel Microfluidic Devices Using Dielectrophoresis and Laminar Flow
09:45

Separating Beads and Cells in Multi-channel Microfluidic Devices Using Dielectrophoresis and Laminar Flow

Published on: February 4, 2011

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells
15:41

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells

Published on: October 15, 2013

Area of Science:

  • Biophysics
  • Cell Biology
  • Microfluidics

Background:

  • Accurate cell type classification is crucial for disease diagnosis and research.
  • Traditional methods often require cell labeling or are time-consuming.
  • Developing label-free, high-throughput cell characterization techniques is essential.

Purpose of the Study:

  • To present a novel microfluidic system for continuous, label-free cell classification.
  • To characterize size-independent electrical properties of cells, specifically specific membrane capacitance and cytoplasm conductivity.
  • To evaluate the system's ability to differentiate between distinct lung cancer cell lines.

Main Methods:

  • Cells were continuously aspirated through a microfluidic constriction channel.
  • Simultaneous measurement of cell elongation and impedance at 1 kHz and 100 kHz.
  • Application of a distributed equivalent circuit model to extract specific membrane capacitance and cytoplasm conductivity.
  • Utilizing neural network-based pattern recognition for cell classification.

Main Results:

  • The microfluidic system successfully measured specific membrane capacitance and cytoplasm conductivity for two lung cancer cell lines (CRL-5803 and CCL-185).
  • Distinct electrical property values were observed: CRL-5803 (C(specific membrane) = 1.63 ± 0.52 μF cm(-2), σ(cytoplasm) = 0.90 ± 0.19 S m(-1)) vs. CCL-185 (C(specific membrane) = 2.00 ± 0.60 μF cm(-2), σ(cytoplasm) = 0.73 ± 0.17 S m(-1)).
  • Classification success rates reached up to 74.4% when combining both electrical parameters, demonstrating effective cell type differentiation.

Conclusions:

  • The developed microfluidic system enables robust cell classification based on intrinsic electrical properties.
  • Specific membrane capacitance and cytoplasm conductivity serve as effective biophysical markers for distinguishing between lung cancer cell types.
  • This label-free approach holds promise for applications in cancer diagnostics and research.