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

Glassware Calibration01:11

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...
Accuracy and Precision01:52

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate measurements...
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

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 other increases, and...

You might also read

Related Articles

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

Sort by
Same author

Feasibility and benefits of continuous glucose monitoring for type 1 diabetes in Rwanda: A real-world 12-month continuation phase.

Diabetic medicine : a journal of the British Diabetic Association·2026
Same author

Automated basal insulin delivery versus multiple daily injections in type 1 diabetes: results from a randomized parallel controlled trial.

Frontiers in endocrinology·2026
Same author

Continuous glucose monitoring in early gestational diabetes improves maternal and neonatal outcomes-The Steady Sugar trial.

Diabetes, obesity & metabolism·2025
Same author

Control-IQ Technology Provides Similar Glycemic Outcomes Across Two Different CGM Sensors.

Journal of diabetes science and technology·2025
Same author

Practical Approaches to Continuous Glucose Monitoring in Primary Care: A UK-Based Consensus Opinion.

Diabetes therapy : research, treatment and education of diabetes and related disorders·2025
Same author

Evaluation of Accuracy and Safety of the 365-Day Implantable Eversense Continuous Glucose Monitoring System: The ENHANCE Study.

Diabetes technology & therapeutics·2025
Same journal

A Pilot Study on Disposal Practices and Environmental Awareness of Insulin-Related Devices Among People With Diabetes.

Journal of diabetes science and technology·2026
Same journal

Quality of In-Use Insulin Under Real-World Storage Conditions in Mwanza, Tanzania.

Journal of diabetes science and technology·2026
Same journal

Continuous Glucose Monitoring Metrics for Predicting Adverse Neonatal Outcomes in Individuals Undergoing Gestational Diabetes Screening.

Journal of diabetes science and technology·2026
Same journal

Diabetes Technologist: Optimal Use of Technology in Everyday Practice.

Journal of diabetes science and technology·2026
Same journal

AI-Driven Diabetes Care and Its Relevance in the Philippine Context: Opportunities and Persistent Digital Barriers.

Journal of diabetes science and technology·2026
Same journal

Ease of Use, Ease of Learning, and Convenience of the CagriSema Dual-Chamber Pen: Results From a Usability Study in Adults With Overweight, Obesity, or Type 2 Diabetes.

Journal of diabetes science and technology·2026
See all related articles

Related Experiment Video

Updated: May 22, 2026

FIBS-enabled Noninvasive Metabolic Profiling
09:16

FIBS-enabled Noninvasive Metabolic Profiling

Published on: February 3, 2014

Accuracy of the Sof-sensor glucose sensor with the iPro calibration algorithm

John B Welsh, Francine R Kaufman, Scott W Lee

    Journal of Diabetes Science and Technology
    |April 28, 2012
    PubMed
    Summary

    No abstract available in PubMed .

    More Related Videos

    Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis
    12:02

    Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis

    Published on: April 11, 2016

    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

    Related Experiment Videos

    Last Updated: May 22, 2026

    FIBS-enabled Noninvasive Metabolic Profiling
    09:16

    FIBS-enabled Noninvasive Metabolic Profiling

    Published on: February 3, 2014

    Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis
    12:02

    Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis

    Published on: April 11, 2016

    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