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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.
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Updated: Jun 6, 2026

An Automated Method to Perform The In Vitro Micronucleus Assay using Multispectral Imaging Flow Cytometry

An Automated Method to Perform The In Vitro Micronucleus Assay using Multispectral Imaging Flow Cytometry

Published on: May 13, 2019

Microfluidic image cytometry.

Ken-ichiro Kamei¹, Jing Sun, Hsian-Rong Tseng

¹Department of Molecular & Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA. kkamei@icems.kyoto-u.ac.jp

Methods in Molecular Biology (Clifton, N.J.)

|November 25, 2010

Summary

This summary is machine-generated.

Microfluidic image cytometry enables molecular diagnosis of brain tumors using minimal patient samples. This technique reveals significant inter- and intra-tumoral heterogeneity in signaling pathways.

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Last Updated: Jun 6, 2026

An Automated Method to Perform The In Vitro Micronucleus Assay using Multispectral Imaging Flow Cytometry

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Published on: May 13, 2019

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

Published on: June 28, 2017

Area of Science:

Biotechnology
Oncology
Molecular Diagnostics

Background:

Cell-based arrays are valuable for genomics, proteomics, and drug discovery but require large cell quantities.
Limited patient sample sizes pose a challenge for traditional in vitro diagnostic methods in oncology.

Purpose of the Study:

To demonstrate the utility of microfluidic image cytometry (MIC) for in vitro molecular diagnosis of brain tumors.
To profile key signaling molecules in brain tumors using a minimal number of cells.

Main Methods:

Utilized microfluidic image cytometry (MIC) for quantitative, single-cell profiling of multiple signaling molecules.
Measured epidermal growth factor receptor (EGFR), phosphatase and tensin homolog (PTEN), phosphorylated AKT (pAKT), and phosphorylated S6 (pS6) in U87 cell lines and clinical brain tumor specimens.
Employed statistical analysis to interpret molecular heterogeneity.

Main Results:

Successfully characterized the PI3K/AKT/mTOR pathway in brain tumor cell lines and clinical samples using MIC.
Demonstrated the capability of MIC to analyze signaling molecules with as few as 300-3,000 cells.
Identified extensive inter- and intra-tumoral molecular heterogeneity in brain tumors.

Conclusions:

MIC is a powerful tool for in vitro molecular diagnosis of brain tumors, overcoming sample size limitations.
MIC facilitates the characterization of complex signaling pathway activation and molecular heterogeneity in clinical specimens.
This technology holds promise for advancing personalized medicine in neuro-oncology.