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Instrument Calibration

Instrument Calibration

Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...

Glassware Calibration

Glassware Calibration

Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...

Atomic Absorption Spectroscopy: Lab

Atomic Absorption Spectroscopy: Lab

For AAS measurements, samples must be introduced as clear solutions, often requiring extensive preliminary treatment to dissolve materials like soils, animal tissues, and minerals. Common methods for sample preparation include treatment with hot mineral acids, wet ashing, combustion in closed containers, high-temperature ashing, or fusion with reagents.
Solutions containing organic solvents, such as low-molecular-mass alcohols, esters, or ketones, enhance absorbances by increasing nebulizer...

Calibration Curves: Linear Least Squares

Calibration Curves: Linear Least Squares

A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...

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Related Experiment Video

Updated: Jul 10, 2026

Measurement of H2S in Crude Oil and Crude Oil Headspace Using Multidimensional Gas Chromatography, Deans Switching and Sulfur-selective Detection

Measurement of H₂S in Crude Oil and Crude Oil Headspace Using Multidimensional Gas Chromatography, Deans Switching and Sulfur-selective Detection

Published on: December 10, 2015

Laboratory D-dimer measurement: improved agreement between methods through calibration.

Ian Jennings¹, Timothy A L Woods, Dianne P Kitchen

¹United Kingdom National External Quality Assassment Scheme for Blood Coagulation, Rutledge Mews, 3 Southbourne Road, Sheffield S10 2QN, UK. i.jennings@coageqa.org.uk

Thrombosis and Haemostasis

|November 15, 2007

Summary

This summary is machine-generated.

Accurate D-dimer testing is crucial for diagnosing venous thromboembolism. A new calibration model significantly improved agreement between different lab methods, reducing variability in D-dimer measurements.

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Published on: July 25, 2014

Area of Science:

Clinical chemistry
Hematology
Diagnostic accuracy

Background:

Plasma D-dimer levels are vital for diagnosing venous thromboembolism (VTE).
Significant variability exists in D-dimer results across different laboratory methods in multicenter studies.
This variability impacts the reliable diagnosis and management of VTE.

Purpose of the Study:

To assess the precision of laboratory D-dimer measurements across different centers.
To evaluate the effectiveness of a calibration curve model in improving inter-method agreement for D-dimer testing.
To harmonize D-dimer results for more consistent VTE diagnosis.

Main Methods:

Two multicenter exercises were conducted to evaluate D-dimer measurement precision.
The first exercise assessed within-center precision using identical samples.
The second exercise applied a calibration model with consensus median values from calibrant plasmas to improve between-method agreement.

Main Results:

The first exercise showed good within-center precision (82% within 10%), but identified potential diagnostic discrepancies.
The second exercise demonstrated a marked improvement in between-method precision after applying the calibration model.
Coefficients of variation (CVs) significantly decreased for both fibrinogen equivalent units (FEUs) and ng/ml reporting units, indicating enhanced harmonization.

Conclusions:

A calibration model utilizing common calibrant plasmas can significantly improve the harmonization of D-dimer results across different measurement methods.
This approach offers a viable strategy to reduce inter-laboratory variability and enhance diagnostic accuracy for venous thromboembolism.
Standardized calibration is recommended to improve the reliability of D-dimer testing in clinical practice.