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🛠 Teeth Whitening Shade Outcome Simulator

This simulation predicts the outcome of teeth whitening shade changes depending on the whitening method and initial tooth condition.

Dental Procedure Planning Tools2DModerate60 FPS
teeth-whitening-shade-outcome-simulator ↗ Open standalone

Reading the Starting Point on the VITA Shade Guide

Placeholder: baseline shade sets the starting point for whitening prediction.

  • 1–16: Scale range (Placeholder shorthand scale)
  • B1: Lightest shade (Placeholder reference tab)
  • C4: Darkest shade (Placeholder reference tab)
  • VITA guide: Assessment tool (Placeholder comparison method)

Shade matching basics

Placeholder: shade tabs are compared under standardized lighting conditions.

Placeholder: baseline accuracy strongly affects prediction confidence.

How Peroxide Breaks Down Stain Chromogens

Placeholder: peroxide oxidizes pigmented molecules trapped in enamel.

  • H2O2 / carbamide: Active agent (Placeholder oxidizer type)
  • Oxidation: Reaction type (Placeholder chemical process)
  • Chromogens: Target (Placeholder pigment molecules)
  • Free radicals: Byproduct (Placeholder reactive species)

Diffusion into enamel

Placeholder: peroxide penetrates enamel and dentin over time.

Placeholder: reaction rate depends on gel concentration and contact time.

In-Office Light Activation versus At-Home Tray Systems

Placeholder: method choice trades speed against sensitivity and cost.

  • 25–40%: In-office peroxide (Placeholder concentration range)
  • 10–22%: At-home peroxide (Placeholder concentration range)
  • ~60 min: In-office session (Placeholder chair time)
  • 2–4 weeks: At-home course (Placeholder nightly wear)

Speed vs sensitivity trade-off

Placeholder: faster methods use higher concentrations and more heat.

Placeholder: in-office gets faster results but higher sensitivity risk.

Tracking Shade Improvement Across Sessions

Placeholder: each session shifts the tooth shade step by step.

  • 0.5–2.1: Shift per session (Placeholder VITA steps)
  • 1–8 sessions: Typical course (Placeholder session count)
  • Diminishing: Plateau effect (Placeholder returns pattern)
  • Partial: Rebound risk (Placeholder shade relapse)

Incremental lightening curve

Placeholder: improvement slows as chromogens are depleted.

Placeholder: session gains follow a diminishing-returns curve.

Predicting the Final Whitened Shade

Placeholder: model combines baseline and method into one outcome.

  • Baseline+method: Prediction basis (Placeholder input factors)
  • ~VITA 1–2: Best achievable (Placeholder floor shade)
  • 6–24 months: Stability (Placeholder result duration)
  • Periodic: Touch-up need (Placeholder maintenance cadence)

Outcome confidence

Placeholder: final shade estimate carries individual variability.

Placeholder: predicted shade is an estimate, not a guarantee.
⚙ Under the hood

This simulation predicts the outcome of teeth whitening shade changes depending on the whitening method and initial tooth condition.

CanvasBiomedicine

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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