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 Experiment Videos

Laboratory instrument evaluation using a personal computer.

A M Wootton1, M Stringer

  • 1Department of Biochemistry, Royal Melbourne Hospital, Parkville, Victoria, Australia.

Annals of Clinical Biochemistry
|March 1, 1990
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Evidence of Coherent Elastic Neutrino-Nucleus Scattering with COHERENT's Germanium Array.

Physical review letters·2025
Same author

Military concerns for chronic pain stimulator devices.

BMJ military health·2023
Same author

First Direct Detection Constraints on Planck-Scale Mass Dark Matter with Multiple-Scatter Signatures Using the DEAP-3600 Detector.

Physical review letters·2022
Same author

Pulse-shape discrimination against low-energy Ar-39 beta decays in liquid argon with 4.5 tonne-years of DEAP-3600 data.

The European physical journal. C, Particles and fields·2021
Same author

The year's new drugs and biologics 2018: Part I.

Drugs of today (Barcelona, Spain : 1998)·2019
Same author

The year's new drugs and biologics 2017: Part I.

Drugs of today (Barcelona, Spain : 1998)·2018
Same journal

Routine laboratory triage for NT-proBNP elevation may reflect cardiorenal frailty as much as heart failure specificity.

Annals of clinical biochemistry·2026
Same journal

From interpretable NT-proBNP prediction to equitable laboratory stewardship.

Annals of clinical biochemistry·2026
Same journal

Serum Sclerostin Levels in Children with Osteogenesis Imperfecta.

Annals of clinical biochemistry·2026
Same journal

Population-Specific HOMA-IR Reference Ranges in Iraq: Defining Insulin Sensitivity in a Middle Eastern Cohort.

Annals of clinical biochemistry·2026
Same journal

Optimizing Laboratory Quality with Sigma Metrics: Application of CLIA 2024 Total Allowable Error Guidelines.

Annals of clinical biochemistry·2026
Same journal

Suspected thermal amplitude of cryoglobulin likely more clinically significant than size detected: A case report.

Annals of clinical biochemistry·2026
See all related articles

Laboratory scientists can now easily compare patient data from multiple biochemical analyzers using custom BASIC programs. This system facilitates instrument evaluation and large-scale data analysis without manual data entry.

Area of Science:

  • Biochemistry
  • Medical Laboratory Science
  • Computer Science in Healthcare

Background:

  • Biochemical analyzers generate large volumes of patient data.
  • Integrating data from diverse instruments presents a significant challenge.
  • Manual data transfer is time-consuming and prone to errors.

Purpose of the Study:

  • To describe a system for downloading and formatting data from multichannel biochemical analyzers.
  • To enable statistical comparisons of patient data across different instruments.
  • To facilitate the evaluation of biochemical analyzer performance.

Main Methods:

  • Data download from multichannel biochemical analyzers to a personal computer via a communications package.
  • Development of BASIC programs for data formatting into a file structure.

Related Experiment Videos

  • Importing formatted data into commercial statistical software packages.
  • Main Results:

    • A system was developed enabling efficient data transfer and formatting.
    • Statistical comparisons of patient data from different instruments became feasible.
    • Hundreds of patient results could be compared without manual data entry.

    Conclusions:

    • The described system allows laboratory scientists to effectively manage and analyze biochemical data.
    • The technique facilitates instrument evaluation and improves data integrity.
    • Rudimentary computer programming skills are sufficient for implementing this data management solution.