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

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

7.9K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
7.9K
Color Vision01:24

Color Vision

1.2K
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
1.2K
Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

326
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
326
Causes of Similarity-Dissimilarity Effect01:26

Causes of Similarity-Dissimilarity Effect

163
The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
163
Multiple Comparison Tests01:13

Multiple Comparison Tests

4.3K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.3K

You might also read

Related Articles

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

Sort by
Same author

Exploring environmental risk in soils: Leveraging open data for non-sampling assessment?

Heliyon·2025
Same author

Bayesian approach for developing threshold color-difference models by the strip-pair comparison method.

Optics express·2021
Same author

Parametric effects by using the strip-pair comparison method around red CIE color center.

Optics express·2020
Same author

Parametric effects on the evaluation of threshold chromaticity differences using red printed samples.

Journal of the Optical Society of America. A, Optics, image science, and vision·2019
Same author

Euro Banknote Recognition System for Blind People.

Sensors (Basel, Switzerland)·2017
Same author

Bayesian approach to color-difference models based on threshold and constant-stimuli methods.

Optics express·2015
Same journal

Denoising algorithm of Φ-OTDR systems based on adaptive fractional wavelet transform denoising.

Optics express·2026
Same journal

Millisecond photon-to-photon latency and high-speed volumetric projection system for optogenetics.

Optics express·2026
Same journal

Polarization-encoded coaxial structured light for high-precision 3D surface profilometry.

Optics express·2026
Same journal

Discrete freeform optical design based on collaborative optimization of point cloud and local normals.

Optics express·2026
Same journal

Ultrafast ghost imaging with 25 GHz speckle switching and wavelength-division multiplexing.

Optics express·2026
Same journal

Atomic vapor cells fabricated by femtosecond laser welding of standard-optical-quality glass.

Optics express·2026
See all related articles

Related Experiment Video

Updated: Dec 14, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.8K

Strip-pair comparison method for building threshold color-difference model: theoretical model validation.

Fernando Brusola, Ignacio Tortajada, Ismael Lengua

    Optics Express
    |July 19, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method for creating color-difference models near the perception threshold. The technique accurately determines color discrimination parameters, crucial for understanding subtle color variations.

    More Related Videos

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
    07:05

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

    Published on: June 18, 2021

    2.7K
    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
    07:34

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

    Published on: June 3, 2013

    17.8K

    Related Experiment Videos

    Last Updated: Dec 14, 2025

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
    08:12

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

    Published on: March 1, 2022

    2.8K
    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
    07:05

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

    Published on: June 18, 2021

    2.7K
    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
    07:34

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

    Published on: June 3, 2013

    17.8K

    Area of Science:

    • Color Science
    • Psychophysics
    • Sensory Evaluation

    Background:

    • Developing accurate color-difference models is essential for various industries, including manufacturing, design, and research.
    • Existing methods for determining color perception thresholds can be complex and time-consuming.
    • Understanding the precise point at which color differences become perceptible is key to quality control and product development.

    Purpose of the Study:

    • To present a novel method for developing color-difference models near the perception threshold.
    • To validate the proposed method using simulated theoretical data and assess its accuracy and precision.
    • To investigate the impact of construction precision on the accuracy of estimated color discrimination parameters.

    Main Methods:

    • Utilized a serial exploration method involving 2 × n color-control strips with controlled color variations.
    • Instructed observers to identify the point at which a slight color difference is perceived between patch pairs.
    • Generated theoretical frequency data using the CIE94 color difference formula and a logistic psychometric curve for validation.

    Main Results:

    • The proposed method achieved a precision of approximately 4% in determining color discrimination parameters.
    • The accuracy of the estimated parameters was found to be around 3% relative to simulated theoretical values.
    • The study demonstrated the method's robustness even with superimposed errors (standard deviation of ΔE*ab=0.2) in color sample generation.

    Conclusions:

    • The developed method provides a reliable and efficient way to establish color-difference models near the perception threshold.
    • The findings confirm the method's high precision and accuracy in estimating color discrimination parameters.
    • This approach offers a valuable tool for researchers and industry professionals involved in color assessment and standardization.