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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: Jun 4, 2026

Quality-Controlled Sputum Analysis by Flow Cytometry

Quality-Controlled Sputum Analysis by Flow Cytometry

Published on: August 9, 2021

Static and flow cytometry.

R Madeb¹, D Pode, O Nativ

¹Department of Urology, B'nai Zion Medical Center, Haifa, Israel.

Methods in Molecular Medicine

|February 15, 2011

Summary

This summary is machine-generated.

Nuclear DNA content in renal cell carcinoma (RCC) may offer a more reliable prognosis than traditional methods. This DNA analysis helps predict malignancy potential and patient outcomes in kidney cancer.

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Area of Science:

Oncology
Molecular Pathology

Background:

Nuclear DNA content differences between malignant and normal cells are known for decades.
Nuclear DNA content has shown correlation with clinical outcomes in various human neoplasms.
Predicting malignant potential and prognosis in renal cell carcinoma (RCC) remains a clinical challenge.

Purpose of the Study:

To evaluate the prognostic value of nuclear DNA content in patients with renal cell carcinoma.
To determine if nuclear DNA content can improve the prediction of malignant potential and patient prognosis in RCC.

Main Methods:

Analysis of nuclear DNA content in renal cell carcinoma tissues.
Comparison of DNA content with established prognostic factors like stage and grade.
Correlation of DNA content with clinical outcomes and patient survival.

Main Results:

Traditional prognostic factors like stage and grade have limitations in predicting individual patient outcomes.
Nuclear DNA content has emerged as a parameter to assess the malignant potential of RCC.
Studies indicate that nuclear DNA content may provide additional prognostic information beyond conventional methods.

Conclusions:

Nuclear DNA content is a promising biomarker for predicting prognosis in renal cell carcinoma.
Further evaluation of nuclear DNA content may enhance personalized treatment strategies for RCC patients.
DNA analysis offers a potential tool to refine prognostic accuracy in kidney cancer care.