Jove
Visualize
Contact Us
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 Concept Videos

Quality Control01:05

Quality Control

1.1K
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...
1.1K
Quality Assurance01:19

Quality Assurance

906
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...
906
Data Validation01:15

Data Validation

517
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
517

You might also read

Related Articles

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

Sort by
Same author

Antemortem toxicological and behavioral findings of drivers involved in fatal traffic crashes: a comparative analysis of charged and uncharged individuals.

Traffic injury prevention·2026
Same author

Evaluation of sevoflurane interference with forensic blood ethanol analysis, including sevoflurane stability, and an authentic case.

Journal of analytical toxicology·2025
Same author

The Hawthorne effect in studies of firearm and toolmark examiners.

Journal of forensic sciences·2025
Same author

Toxicological and demographic profiles of phencyclidine-impaired driving cases in Houston: updates from the 2019 to 2023 data.

Journal of analytical toxicology·2025
Same author

Ethanol stability from 9 years of a blind quality control program in blood alcohol analysis.

Journal of analytical toxicology·2024
Same author

The secret life of crime labs.

Proceedings of the National Academy of Sciences of the United States of America·2023

Related Experiment Video

Updated: Jan 1, 2026

Author Spotlight: Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies
09:30

Author Spotlight: Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies

Published on: March 17, 2023

4.3K

Implementation of a Blind Quality Control Program in a Forensic Laboratory.

Callan Hundl1, Maddisen Neuman1,2, Alicia Rairden1

  • 1Houston Forensic Science Center, 500 Jefferson Street, 13th Floor, Houston, TX, 77002.

Journal of Forensic Sciences
|December 25, 2019
PubMed
Summary

Houston Forensic Science Center implemented a blind quality control program, enhancing laboratory proficiency assessment. This program effectively mimics real casework, ensuring robust quality management across multiple forensic disciplines.

Keywords:
blind quality controlblind testingblind verificationforensic scienceintralaboratory comparisonintralaboratory proficiencyintralaboratory testingproficiency testing

More Related Videos

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

308
Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
23:56

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Published on: October 31, 2010

17.0K

Related Experiment Videos

Last Updated: Jan 1, 2026

Author Spotlight: Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies
09:30

Author Spotlight: Microbial Control and Monitoring Strategies for Cleanroom Environments and Cellular Therapies

Published on: March 17, 2023

4.3K
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

308
Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
23:56

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model

Published on: October 31, 2010

17.0K

Area of Science:

  • Forensic Science
  • Laboratory Quality Management

Background:

  • Forensic laboratories require rigorous quality control measures.
  • Accreditation requires annual proficiency testing.
  • The 2009 National Academy of Sciences report recommended enhanced QC.

Purpose of the Study:

  • To develop and implement a blind quality control (QC) program at the Houston Forensic Science Center (HFSC).
  • To assess the laboratory's overall quality management system and real-time proficiency.
  • To create a QC program that accurately reflects real casework.

Main Methods:

  • Established a blind QC program across Toxicology, Seized Drugs, Firearms, Latent Prints, Forensic Biology, and Multimedia sections.
  • Assessed workflows and evidence submission processes to mimic casework.
  • The HFSC Quality Division created and submitted blind QC samples with known outcomes.

Main Results:

  • Successfully implemented the blind QC program from 2015 to 2018.
  • Submitted 973 blind samples, with 901 completed.
  • Only 51 of 973 blind QC samples were identified by analysts.

Conclusions:

  • The blind QC program provides a real-time assessment of laboratory proficiency.
  • The program successfully mimics casework and tests the quality management system.
  • This blind QC model is transferable to other forensic laboratories.