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Related Concept Videos

Flow Cytometry01:23

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: May 13, 2026

Sample Preparation for Mass Cytometry Analysis
06:28

Sample Preparation for Mass Cytometry Analysis

Published on: April 29, 2017

Normalization of mass cytometry data with bead standards.

Rachel Finck1, Erin F Simonds, Astraea Jager

  • 1Baxter Laboratory in Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, California, USA.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|March 21, 2013
PubMed
Summary
This summary is machine-generated.

Mass cytometry (MC) requires quality control. A new protocol using lanthanide-embedded beads normalizes signal variation, improving data accuracy for cell analysis over time.

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Last Updated: May 13, 2026

Sample Preparation for Mass Cytometry Analysis
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Area of Science:

  • Biotechnology
  • Analytical Chemistry
  • Immunology

Background:

  • Mass cytometry enables high-dimensional single-cell analysis.
  • Quantitative technologies necessitate robust quality assurance and normalization.
  • Instrument performance drift affects mass cytometry data integrity over time.

Purpose of the Study:

  • To develop and validate a quality assurance and normalization protocol for mass cytometry.
  • To address signal variation caused by instrument performance changes and maintenance intervals.
  • To enhance the reliability of longitudinal mass cytometry data.

Main Methods:

  • Incorporation of lanthanide-embedded polystyrene beads into samples for simultaneous measurement.
  • Development of an algorithm to extract bead signatures and correct signal fluctuations.
  • Application of the protocol to monitor instrument performance over multiple days and a one-month longitudinal study.

Main Results:

  • The protocol effectively monitors mass cytometry instrument performance.
  • The algorithm corrects for both short-term and long-term signal variations.
  • Longitudinal analysis of human peripheral blood showed a reduction in median signal fluctuation from 4.9-fold to 1.3-fold.
  • Residual bead intensity variation can indicate data quality.

Conclusions:

  • This protocol provides a reliable method for mass cytometry data normalization and quality control.
  • The bead-based approach ensures accurate and reproducible single-cell measurements.
  • Improved data quality is crucial for robust biological insights from mass cytometry studies.