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Related Concept Videos

Quality Control01:05

Quality Control

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Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
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Studying the Protein Quality Control System of D. discoideum Using Temperature-controlled Live Cell Imaging06:09

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The social amoebae Dictyostelium discoideum has recently been established as a system to study protein misfolding and proteostasis. Here, we describe a new imaging-based methodology to study temperature-induced protein aggregation and the cellular stress response in D.
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DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning09:27

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We demonstrate the use of DNA microarrays for expression profiling of the nervous system. We describe RNA quality control, sample labeling, and array hybridization and...
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Quality-Controlled Sputum Analysis by Flow Cytometry07:22

Quality-Controlled Sputum Analysis by Flow Cytometry

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This protocol describes an efficient method for dissociating sputum into a single cell suspension and the subsequent characterization of cellular subsets on standard flow cytometric platforms.
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The Cultivation, Growth, and Viability of Lactic Acid Bacteria: A Quality Control Perspective04:40

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The quality control assessment of lactic acid bacteria (LAB) cultures has been confirmed as an effective way to enhance the viability and functionality of LAB strains for fermentation procedures. To buttress this assertion, we developed a protocol that elucidates how LAB cultures are activated and cultivated for fermentation and bioprocessing...
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Purification and Quality Control of Recombinant Septin Complexes for Cell-Free Reconstitution11:50

Purification and Quality Control of Recombinant Septin Complexes for Cell-Free Reconstitution

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In vitro reconstitution of cytoskeletal proteins is a vital tool to understand the basic functional properties of these proteins. The present paper describes a protocol to purify and assess the quality of recombinant septin complexes, which play a central role in cell division and migration.
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Related Experiment Video

Updated: Jan 19, 2026

Quality Control
01:05

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Quality Control of Immunophenotyping.

Bruce Greig1

  • 1Hematopathology/Flow Cytometry, Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA. bruce.greig@vumc.org.

Methods in Molecular Biology (Clifton, N.J.)
|September 16, 2019
PubMed
Summary

Quality control (QC) and quality assurance (QA) are essential for accurate flow cytometry and immunophenotyping. Implementing best practices ensures reliable diagnostic and research results by monitoring instruments, reagents, and testing phases.

Keywords:
AccuracyColor compensationFMO controlsFlow cytometryImmunofluorescenceImmunophenotypingLevey–JenningsMethod validationMonoclonal antibodiesPrecisionProficiency testingQuality assuranceQuality control

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Related Experiment Videos

Last Updated: Jan 19, 2026

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Area of Science:

  • Clinical Laboratory Science
  • Biotechnology
  • Immunology

Background:

  • Flow cytometry and immunophenotyping are critical for disease diagnosis and monitoring.
  • Accurate results depend on rigorous instrument and methodology oversight.
  • Standardized quality control (QC) and quality assurance (QA) are vital for reliable data.

Purpose of the Study:

  • To describe procedures for assessing quality control in flow cytometry and immunophenotyping.
  • To emphasize the importance of QC/QA across all testing phases (preanalytic, analytic, postanalytic).
  • To ensure consistent and dependable results for clinical and research applications.

Main Methods:

  • Implementing daily and ongoing monitoring of flow cytometry instruments and methodologies.
  • Establishing robust quality control (QC) procedures for instrument performance, reagents, and results.
  • Documenting corrective actions when QC results fall outside acceptable ranges.

Main Results:

  • Detailed procedures for assessing quality control in flow cytometry and immunophenotyping are presented.
  • Emphasis on the integration of QC/QA into preanalytic, analytic, and postanalytic testing phases.
  • Framework for ensuring consistent and accurate data generation.

Conclusions:

  • Adherence to best practices in QC and QA is fundamental for reliable immunophenotyping via flow cytometry.
  • Systematic monitoring and documentation are key to maintaining high-quality diagnostic and research outcomes.
  • Comprehensive QA ensures the integrity of the entire testing process.