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Color Vision01:24

Color Vision

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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.
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Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for...
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UV–Vis Spectrum

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When light passes through a substance, a portion of the light is absorbed while the remaining light is reflected or transmitted. If the molecule absorbs light between the wavelengths of 180–400 nm range, the UV spectrum is obtained, and if it absorbs light in the 400–780 nm wavelength range, the visible spectrum is obtained.     
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Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
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Variability: Analysis01:11

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Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
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Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

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Related Experiment Video

Updated: Dec 25, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
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Variability of Spectral Tristimulus Values.

Isadore Nimeroff, Joan R Rosenblatt, Mary C Dannemiller

    Journal of Research of the National Bureau of Standards. Section A, Physics and Chemistry
    |March 21, 2020
    PubMed
    Summary

    Understanding observer variability in colorimetry is crucial. This study quantifies within-observer and between-observer variances in spectral tristimulus values, providing essential data for the CIE Standard Observer System.

    Area of Science:

    • Colorimetry
    • Statistical Optics
    • Human Visual Perception

    Background:

    • The CIE Standard Observer System provides fundamental spectral tristimulus values for colorimetry.
    • Quantifying the variability in these values is essential for understanding measurement uncertainties and observer differences.

    Purpose of the Study:

    • To develop a statistical procedure for deriving "within" and "between" observer variances and covariances in spectral tristimulus values.
    • To provide a statistical model for analyzing color-matching data from individual observers.
    • To determine uncertainties in linear transformations within the colorimetric system.

    Main Methods:

    • Color-matching data from individual observers were analyzed.
    • Statistical models were developed to calculate expected values, variances, and covariances.

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  • Procedures for determining uncertainties in linear transformation constants were established.

    • Main Results:

    • Between-observer variabilities were found to be approximately 10% of the average color-mixture data.
    • The average ratio of between-observer to within-observer variabilities was approximately 5.7.
    • Complete standard observer data (means, variances, covariances) for every 10 mμ were derived.

    Conclusions:

    • The study successfully quantified observer variability in spectral tristimulus values.
    • The derived variances and covariances offer a more rigorous basis for the CIE Standard Observer System.
    • This work contributes to a better understanding of measurement uncertainty in colorimetry.