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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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Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation

Published on: November 3, 2018

Common flow cytometry pitfalls in diagnostic hematopathology.

Sindhu Cherian¹, Ben D Hedley², Michael Keeney²

¹Department of Laboratory Medicine, University of Washington, Seattle, Washington.

Cytometry. Part B, Clinical Cytometry

|November 8, 2019

Summary

Flow cytometry (FC) is vital for diagnosing hematological diseases. Advances simplify FC, but complex panels can cause diagnostic pitfalls, necessitating careful interpretation of results.

Keywords:

flow cytometry immunophenotyping multiparameter analysis pitfalls

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Area of Science:

Hematology
Immunophenotyping
Clinical Diagnostics

Background:

Flow cytometry (FC) is a versatile tool for diagnosing and monitoring hematological diseases.
Recent advancements have improved FC, but increased antibody use (8-10 colors) introduces technical and interpretation challenges.
Understanding normal immunophenotypic patterns is crucial for identifying abnormal cell populations in hematopoietic neoplasms.

Purpose of the Study:

To review preanalytical, instrument, and interpretation issues in flow cytometry.
To highlight potential diagnostic pitfalls associated with multiparameter panels in hematological neoplasms.
To discuss the impact of targeted therapies on flow cytometric data analysis and interpretation.

Main Methods:

Review of current literature and best practices in flow cytometry.
Analysis of common challenges in multiparameter flow cytometry panel design and execution.
Discussion of data interpretation strategies for identifying neoplastic populations.

Main Results:

Multiparameter panels, while powerful, can lead to complex data requiring expert interpretation.
Neoplastic cell characteristics can present diagnostic challenges.
Therapeutic interventions, especially targeted therapies, can alter immunophenotypic profiles, complicating analysis.

Conclusions:

Accurate interpretation of flow cytometry data requires a deep understanding of normal immunophenotypes and the effects of therapy.
Addressing preanalytical, instrument, and interpretation issues is critical for reliable diagnosis of hematological malignancies.
Continued education and standardized protocols are essential for navigating the complexities of modern flow cytometry.