Jove
Visualize
Contact Us

Related Concept Videos

Quality Control01:05

Quality Control

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...
Quality Assurance01:19

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
The X̄ Chart00:58

The X̄ Chart

The  x̄ chart is a statistical tool for monitoring the means in a process.
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality characteristic in the order in which...
Control Systems01:10

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
Controls in Experiments01:13

Controls in Experiments

When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Principles of quality control.

Current protocols in cytometry·2008
Same author

Quality control in phenotypic analysis by flow cytometry.

Current protocols in cytometry·2008
Same author

Quality control in nucleic acid analysis.

Current protocols in cytometry·2008
Same author

Validation and quality control of immunophenotyping in clinical flow cytometry.

Journal of immunological methods·2000
Same author

Regulatory affairs.

Cytometry·1998
Same author

Automated slide preparation system for the clinical laboratory.

Cytometry·1996
Same journal

Detection and Sorting of Extracellular Vesicles and Viruses Using nanoFACS.

Current protocols in cytometry·2020
Same journal

Live Imaging of the Lung.

Current protocols in cytometry·2020
Same journal

Small Particle Fluorescence and Light Scatter Calibration Using FCM<sub>PASS</sub> Software.

Current protocols in cytometry·2020
Same journal

Optimized Stochastic Optical Reconstruction Microscopy for Imaging Chromatin Structure in Pathological Tissue.

Current protocols in cytometry·2020
Same journal

Flow Cytometric Quantification of Granulocytic Alkaline Phosphatase Activity in Unlysed Whole Blood.

Current protocols in cytometry·2020
Same journal

Practical Guidelines for Collection, Manipulation and Inactivation of SARS-CoV-2 and COVID-19 Clinical Specimens.

Current protocols in cytometry·2020
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jul 2, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

Components of quality control.

A A Hurley1

  • 1Comprehensive Cytometric Consulting, Ballwin, Missouri, USA.

Current Protocols in Cytometry
|September 5, 2008
PubMed
Summary
This summary is machine-generated.

Analytical system controls help operators ensure reliable assay results. This guide details techniques for determining if results are in or out of control, aiding in data release decisions.

Related Experiment Videos

Last Updated: Jul 2, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

Area of Science:

  • Clinical chemistry
  • Laboratory quality control

Background:

  • Ensuring the reliability of analytical systems is crucial for accurate diagnostic and research assays.
  • Operators require clear criteria to assess the quality of laboratory test results before data release.

Purpose of the Study:

  • To explain the function of control materials in analytical systems.
  • To present methods for evaluating whether assay results are within acceptable limits (in control) or not (out of control).

Main Methods:

  • Review of established quality control principles in laboratory diagnostics.
  • Description of techniques for monitoring analytical system performance.

Main Results:

  • Control materials provide a basis for operator decision-making regarding result validity.
  • Specific techniques allow for the objective determination of in-control or out-of-control status.

Conclusions:

  • Effective use of controls is essential for maintaining the integrity of analytical testing.
  • Implementing these techniques enhances the reliability of laboratory results and supports informed data release.