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

4.7K
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...
4.7K
Instrument Calibration01:12

Instrument Calibration

904
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...
904
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

5.1K
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...
5.1K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

657
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
657
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

441
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
441
Glassware Calibration01:11

Glassware Calibration

1.6K
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...
1.6K

You might also read

Related Articles

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

Sort by
Same author

Old advice on multivariate calibration: still in force, but not always followed. A tutorial.

Analytica chimica acta·2026
Same author

Hazards of using multivariate curve resolution for processing first-order spectral data. A rotational ambiguity analysis.

Analytica chimica acta·2025
Same author

How does sensor-wise N-BANDS relate to the of area of feasible solutions?

Analytica chimica acta·2025
Same author

Feasible band boundaries computation in bilinear matrix decomposition using essential data.

Analytica chimica acta·2025
Same author

Novel Data Fusion Strategy for Second-Order Data: Multivariate Curve Resolution for the Determination of Pharmaceuticals by Means of Fluorimetric Measurements.

Analytical chemistry·2025
Same author

Cement classification and characterization using Non-Invasive techniques.

Talanta·2024

Related Experiment Video

Updated: Feb 26, 2026

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
08:24

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

10.8K

A road map for multi-way calibration models.

Graciela M Escandar1, Alejandro C Olivieri

  • 1Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Instituto de Química de Rosario (IQUIR-CONICET), Suipacha 531, Rosario S2002LRK, Argentina. escandar@iquir-conicet.gov.ar olivieri@iquir-conicet.gov.ar.

The Analyst
|July 18, 2017
PubMed
Summary
This summary is machine-generated.

This review offers a guide for selecting chemometric models for multi-way data analysis. It proposes simple criteria based on data properties for effective multi-way calibration model selection.

More Related Videos

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.9K
Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
07:03

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

8.1K

Related Experiment Videos

Last Updated: Feb 26, 2026

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
08:24

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

10.8K
Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.9K
Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
07:03

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

8.1K

Area of Science:

  • Chemometrics
  • Analytical Chemistry
  • Data Science

Background:

  • Multi-way calibration techniques are widely used in experimental applications.
  • While three-way data processing is common, complexity in higher-order signals is increasing.
  • A variety of chemometric models exist for processing multi-way data.

Purpose of the Study:

  • To present a general scheme for selecting appropriate data processing models for multi-way data.
  • To simplify model selection based on the inherent properties of multi-way data.

Main Methods:

  • Review of recent literature on multi-way calibration.
  • Proposal of simple criteria for model selection.
  • Criteria based on multi-linearity breaking modes and dependent instrumental modes.

Main Results:

  • Development of a general scheme for selecting multi-way data processing models.
  • Identification of key data properties (multi-linearity breaking modes, dependent modes) for model selection.
  • Emphasis on models selected for data processing in recent literature.

Conclusions:

  • Simple criteria can guide the selection of appropriate chemometric models for complex multi-way data.
  • Understanding data properties is crucial for effective multi-way calibration.
  • The review facilitates informed model selection for diverse multi-way instrumental measurements.