Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Flow Cytometry

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

Amplification-free dual-blocking autocatalytic CRISPR-Cascade for attomolar DNA detection with low nonspecific signal.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same author

Kinetic Modeling of Target-Amplification-Free CRISPR-Cas-Based Autocatalysis Reactions.

bioRxiv : the preprint server for biology·2026

Same author

Interpretability of an FDA-authorized AI/ML sepsis diagnostic tool improved by SHAP values.

JAMIA open·2026

Same author

Gram Typing Bacteria Panels in Whole Blood Using a Biphasic Duplex-Loop-Mediated Isothermal Amplification Assay.

ACS sensors·2026

Same author

Amplification-Free Dual-Blocking Autocatalytic CRISPR-Cascade for Atto-Molar DNA Detection with Low Nonspecific Signal.

bioRxiv : the preprint server for biology·2026

Same author

Current smartphone-assisted point-of-care cancer detection: Towards supporting personalized cancer monitoring.

Trends in analytical chemistry : TRAC·2026

Same journal

A pump-free gravity-driven microfluidic chip for rapid RPA-LFS-based detection of Magnaporthe oryzae AvrPi9 gene.

Biomedical microdevices·2026

Same journal

Mechanotherapeutic biomaterials: Overcoming physical barriers to enhance intratumoral drug delivery in solid tumours.

Biomedical microdevices·2026

Same journal

Reversibly-sealable microfluidic platform for multi-molecule gradient delivery to large adherent cell cultures.

Biomedical microdevices·2026

Same journal

3D printed chip as platform to vascularize hiPSCs-derived kidney organoids.

Biomedical microdevices·2026

Same journal

Ingestible smart capsules: from engineering innovation to GI drug delivery.

Biomedical microdevices·2026

Same journal

An inexpensive, portable, refrigeration-free, ready-to-use microfluidic device for real-time multiplexed molecular detection of HIV, HBV, and HCV.

Biomedical microdevices·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 28, 2026

Determination of Mammalian Cell Counts, Cell Size and Cell Health Using the Moxi Z Mini Automated Cell Counter

Determination of Mammalian Cell Counts, Cell Size and Cell Health Using the Moxi Z Mini Automated Cell Counter

Published on: June 21, 2012

Electrical cell counting process characterization in a microfluidic impedance cytometer.

Umer Hassan¹, Rashid Bashir

¹Department of Electrical and Computer Engineering, William L. Everitt Laboratory, University of Illinois at Urbana-Champaign, 1406W Green St., Urbana, IL, 61801, USA.

Biomedical Microdevices

|June 6, 2014

Summary

This summary is machine-generated.

Accurate cell counting in microfluidic devices is crucial for diagnostics. This study characterizes electrical cell counting, revealing cell diffusion impacts count distributions and requires sample dilution for precise results.

More Related Videos

Electric Cell-substrate Impedance Sensing for the Quantification of Endothelial Proliferation, Barrier Function, and Motility

Electric Cell-substrate Impedance Sensing for the Quantification of Endothelial Proliferation, Barrier Function, and Motility

Published on: March 28, 2014

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Related Experiment Videos

Last Updated: Apr 28, 2026

Determination of Mammalian Cell Counts, Cell Size and Cell Health Using the Moxi Z Mini Automated Cell Counter

Determination of Mammalian Cell Counts, Cell Size and Cell Health Using the Moxi Z Mini Automated Cell Counter

Published on: June 21, 2012

Electric Cell-substrate Impedance Sensing for the Quantification of Endothelial Proliferation, Barrier Function, and Motility

Electric Cell-substrate Impedance Sensing for the Quantification of Endothelial Proliferation, Barrier Function, and Motility

Published on: March 28, 2014

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Area of Science:

Biomedical Engineering
Analytical Chemistry
Cell Biology

Background:

Microfluidic particle counters offer rapid, low-volume cell enumeration for diagnostics.
Accurate cell counting in complex microfluidic systems with heterogeneous populations is challenging.
Characterizing the cell counting process is vital for reliable results.

Purpose of the Study:

To characterize the electrical cell counting process in a microfluidic impedance cytometer.
To analyze cell counting statistics and distributions over time.
To determine factors affecting cell counting accuracy, including cell diffusion and sample concentration.

Main Methods:

On-chip lysis of erythrocytes from whole blood, followed by quenching to preserve leukocytes.
Electrical cell counting of leukocytes passing through a 15 μm × 15 μm microfluidic channel.
Statistical analysis of cell count distributions, time differences between cell occurrences, and diffusion characteristics.

Main Results:

Cell counting over time follows a non-homogeneous Poisson process.
Electrical cell counts exhibit a log-normal distribution, influenced by cell diffusion.
Heterogeneous cell populations show size-dependent diffusion; lymphocytes diffuse more than granulocytes and monocytes.
Time differences between cell occurrences follow an exponential distribution, confirming diffusion characteristics.
Poisson counting statistics were used to characterize the probability of multiple cells arriving simultaneously.
Sample dilution requirements were derived for high cell concentration samples.

Conclusions:

Cell diffusion in microfluidic devices significantly impacts particle counting accuracy.
Understanding cell diffusion characteristics is critical for optimizing microfluidic cell counting.
The study provides a framework for buffer characterization and sample dilution estimation for accurate microfluidic cell enumeration.