Related Experiment Video

Updated: Feb 9, 2026

Three-dimensional Inflammatory Human Tissue Equivalents of Gingiva
08:43

Three-dimensional Inflammatory Human Tissue Equivalents of Gingiva

Published on: April 3, 2018

10.4K

Color Differences Between Pink Veneering Ceramics and the Human Gingiva

Nicola Alberto Valente, Irena Sailer, Vincent Fehmer

    The International Journal of Periodontics & Restorative Dentistry
    |June 14, 2018
    PubMed
    Summary

    No pink ceramic shade perfectly matched human gingiva color in this study. All tested shades showed a noticeable color difference, indicating a need for improved gingival ceramic formulations.

    More Related Videos

    A Novel Approach to Monitoring Graft Neovascularization in the Human Gingiva07:51

    A Novel Approach to Monitoring Graft Neovascularization in the Human Gingiva

    Published on: January 12, 2019

    7.2K
    Multi-material Ceramic-Based Components – Additive Manufacturing of Black-and-white Zirconia Components by Thermoplastic 3D-Printing (CerAM - T3DP)08:29

    Multi-material Ceramic-Based Components – Additive Manufacturing of Black-and-white Zirconia Components by Thermoplastic 3D-Printing (CerAM - T3DP)

    Published on: January 7, 2019

    11.9K

    Related Concept Videos

    Veneer01:19

    Veneer

    Veneer refers to a thin sheet of wood, typically produced to a thickness of about one-eighth of an inch or less. This material is crafted through various methods, the most common being rotary cutting. In this process, a log is mounted into a large lathe and spun against a knife edge, peeling off a continuous strip of wood as the knife penetrates deeper into the rotating log, creating a rotary-cut veneer.
    Other veneering techniques include plain-slicing, quarter-slicing, and rift-slicing. These...
    405
    Colors and Magnetism03:02

    Colors and Magnetism

    Color in Coordination Complexes
    When atoms or molecules absorb light at the proper frequency, their electrons are excited to higher-energy orbitals. For many main group atoms and molecules, the absorbed photons are in the ultraviolet range of the electromagnetic spectrum, which cannot be detected by the human eye. For coordination compounds, the energy difference between the d orbitals often allows photons in the visible range to be absorbed and emitted, which is seen as colors by the human...
    14.1K
    Color Vision01:24

    Color Vision

    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.
    1.5K
    Electric Potential and Potential Difference01:16

    Electric Potential and Potential Difference

    Suppose a positive test charge moves away from a positive static charge, then the Coulomb force does positive work, and its electric potential energy decreases. The potential energy per unit charge is defined as the electric potential. The electric potential is independent of the test charge.
    When a test charge moves from the initial to the final position, the electric potential difference between those positions is defined as the ratio of the change in the potential energy to the charge on the...
    5.7K
    Difference from Background: Limit of Detection01:05

    Difference from Background: Limit of Detection

    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...
    8.4K
    Identifying Statistically Significant Differences: The F-Test01:14

    Identifying Statistically Significant Differences: The F-Test

    The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...
    3.9K