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

Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

2.3K
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...
2.3K
Instrument Calibration01:12

Instrument Calibration

269
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...
269
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

2.4K
In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
2.4K
Glassware Calibration01:11

Glassware Calibration

608
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...
608

You might also read

Related Articles

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

Sort by
Same author

Association between Clinical Periodontal Features and Glycated Hemoglobin in Patients with Diabetes and Controlled Periodontitis: A Cross-Sectional Study.

Healthcare (Basel, Switzerland)·2023
Same author

BPOZ-2 is a negative regulator of the NLPR3 inflammasome contributing to SARS-CoV-2-induced hyperinflammation.

Frontiers in cellular and infection microbiology·2023
Same author

A salt-baking 'recipe' of commercial nickel-molybdenum alloy foam for oxygen evolution catalysis in water splitting.

Journal of colloid and interface science·2023
Same author

A new grid stimulus with subtle flicker perception for user-friendly SSVEP-based BCIs.

Journal of neural engineering·2023
Same author

Axial Shortening in Myopic Children after Repeated Low-Level Red-Light Therapy: Post Hoc Analysis of a Randomized Trial.

Ophthalmology and therapy·2023
Same author

Pharmacokinetics and pharmacodynamics of sacubitril/valsartan in peritoneal dialysis patients.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association·2023

Related Experiment Video

Updated: Sep 13, 2025

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

8.4K

Model-based calibration method for Mueller channeled spectropolarimetry.

Zhe Zhao, Xiang Ma, Jinxian Wu

    Optics Express
    |July 30, 2025
    PubMed
    Summary

    A new model-based calibration method enhances Mueller spectropolarimeter (MCSP) accuracy. This approach improves precision without complex instrumentation, offering a simpler, more effective calibration for spectropolarimetric measurements.

    More Related Videos

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    10.0K
    Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
    11:57

    Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

    Published on: May 20, 2013

    13.6K

    Related Experiment Videos

    Last Updated: Sep 13, 2025

    Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
    10:22

    Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

    Published on: September 7, 2019

    8.4K
    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    10.0K
    Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
    11:57

    Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

    Published on: May 20, 2013

    13.6K

    Area of Science:

    • Optics and Photonics
    • Spectropolarimetry
    • Metrology

    Background:

    • Conventional Mueller spectropolarimeter (MCSP) calibration relies on reference samples, but limited reconstruction accuracy hinders precise calibration.
    • Existing methods often require complex instrumentation and prior reconstruction steps, limiting practical applicability.

    Purpose of the Study:

    • To propose a novel model-based calibration method for MCSP.
    • To enhance calibration accuracy and precision for spectropolarimetric measurements.
    • To simplify the calibration process without additional instrumentation.

    Main Methods:

    • Modeling the MCSP as a modulation matrix derived from physical laws.
    • Correcting the modulation matrix using reference measurements to account for system imperfections.
    • Reconstructing Mueller spectra using convex analysis with sparse regularization.

    Main Results:

    • Achieved high accuracy with a root mean square error (RMSE) of approximately 0.01.
    • Demonstrated a 40% improvement in accuracy compared to state-of-the-art methods.
    • Eliminated the need for prior reconstruction and additional instrumentation.

    Conclusions:

    • The proposed model-based calibration method significantly improves MCSP accuracy and precision.
    • This method preserves the simplicity of MCSP while enhancing its practical applicability.
    • Offers a more robust and accessible calibration solution for spectropolarimetric applications.