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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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Related Experiment Video

Updated: Sep 16, 2025

Analysis of Cell Suspensions Isolated from Solid Tissues by Spectral Flow Cytometry

Analysis of Cell Suspensions Isolated from Solid Tissues by Spectral Flow Cytometry

Published on: May 5, 2017

Beyond the Limits: How Is Spectral Flow Cytometry Reshaping the Clinical Landscape and What Is Coming Next?

Kamila Czechowska¹, Diana L Bonilla², Adam Cotty³

¹Metafora Biosystems, 75014 Paris, France.

|July 11, 2025

Summary

Spectral flow cytometry enables high-dimensional single-cell analysis for deeper phenotyping and improved diagnostics. Emerging technologies are advancing clinical applications, enhancing patient care in hematologic malignancies and immune disorders.

Keywords:

biomarkers clinical flow cytometry clinical trials data standardization diagnostic flow cytometry high-dimensional analysis high-dimensional cytometry immune monitoring immune profiling spectral flow cytometry

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Last Updated: Sep 16, 2025

Analysis of Cell Suspensions Isolated from Solid Tissues by Spectral Flow Cytometry

Analysis of Cell Suspensions Isolated from Solid Tissues by Spectral Flow Cytometry

Published on: May 5, 2017

Quality-Controlled Sputum Analysis by Flow Cytometry

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Published on: August 9, 2021

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Published on: July 12, 2018

Area of Science:

Clinical cytometry
High-dimensional single-cell analysis

Background:

Spectral flow cytometry advances traditional methods for deep phenotyping.
Its application is transforming clinical diagnostics and immune monitoring.

Purpose of the Study:

To review requirements, challenges, and considerations for spectral flow cytometry in clinical diagnostic labs and pharmaceutical/CRO settings.
To discuss how innovations push diagnostic accuracy and analytical power.

Main Methods:

Review of spectral flow cytometry applications.
Discussion of emerging technologies (ghost cytometry, LASE, imaging flow cytometry).

Main Results:

Spectral flow cytometry enhances multiplexing and cell characterization.
New technologies improve sensitivity, throughput, and spatial resolution.

Conclusions:

Innovations in clinical cytometry herald a new frontier for patient care.
Spectral applications hold potential to dramatically enhance treatment outcomes.