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Related Concept Videos

Correlations02:20

Correlations

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Certain organic substances change color in dilute solution when the hydronium ion concentration reaches a particular value. For example, phenolphthalein is a colorless substance in any aqueous solution with a hydronium ion concentration greater than 5.0 × 10−9 M (pH < 8.3). In more basic solutions where the hydronium ion concentration is less than 5.0 × 10−9 M (pH > 8.3), it is red or pink. Substances such as phenolphthalein, which can be used to determine the pH of a solution, are called...
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Correlations between color differences based on three color-difference formulas using dental shade guide tabs.

Jong-Gil Kim1, Bin Yu, Yong-Keun Lee

  • 1Department of Dental Biomaterials Science, School of Dentistry, Seoul National University, Seoul, Korea.

Journal of Prosthodontics : Official Journal of the American College of Prosthodontists
|December 5, 2008
PubMed
Summary
This summary is machine-generated.

Color difference formulas CIELAB (DeltaE*(ab)), DIN99 (DeltaE(99)), and CIEDE2000 (DeltaE(00)) show strong correlations for shade tabs. These formulas can be used interchangeably for evaluating color differences in dental shade guides.

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Area of Science:

  • Dental Materials Science
  • Color Science
  • Metrology

Background:

  • Accurate shade tab selection is crucial in restorative dentistry.
  • Standardized color difference formulas are essential for objective evaluation.
  • Existing formulas may yield varying results, necessitating comparative analysis.

Purpose of the Study:

  • To correlate color difference values derived from three distinct formulas: CIELAB (DeltaE*(ab)), DIN99 (DeltaE(99)), and CIEDE2000 (DeltaE(00)).
  • To assess the interchangeability of these formulas for evaluating color differences between shade tab pairs from the Vita Lumin and Chromascop shade guides.

Main Methods:

  • Color measurements of shade tabs were performed under standard illuminant D(65) using an 8-degree standard observer function.
  • Color differences were calculated for shade pairs from VITA (n=120) and CHRO (n=190) using CIELAB, DIN99, and CIEDE2000 formulas.
  • Paired t-tests and regression analysis were employed to compare and correlate the calculated color difference values (alpha=0.01).

Main Results:

  • Significant differences were observed between all pairs of color difference formulas (DeltaE*(ab), DeltaE(99), DeltaE(00)) for both shade guides (p < 0.01).
  • Strong correlations were found between DeltaE*(ab) and DeltaE(00) (r²=0.90-0.94, p < 0.05), and between DeltaE*(ab) and DeltaE(99) (r²=0.90-0.94, p < 0.05).
  • The a* rescaling function in CIEDE2000 did not significantly influence the DeltaE(00) value, irrespective of the signs of the a* values.

Conclusions:

  • The CIELAB (DeltaE*(ab)), DIN99 (DeltaE(99)), and CIEDE2000 (DeltaE(00)) formulas demonstrate strong correlations when evaluating color differences in shade tabs.
  • These three color difference formulas can be considered interchangeable for the assessment of color differences in dental shade tab evaluations.