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Related Experiment Video

Updated: Jun 16, 2026

A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)
13:54

A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)

Published on: August 18, 2023

Nonlinear optimization; some applications to colorant formulations.

N Ohta

    Applied Optics
    |February 16, 2010
    PubMed
    Summary
    This summary is machine-generated.

    A new nonlinear optimization method was used for color matching. It provides accurate, feasible solutions, especially for high reflectance colors.

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    ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
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    ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

    Published on: August 19, 2021

    Related Experiment Videos

    Last Updated: Jun 16, 2026

    A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)
    13:54

    A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)

    Published on: August 18, 2023

    ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
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    ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

    Published on: August 19, 2021

    Area of Science:

    • Color Science
    • Applied Mathematics
    • Optical Engineering

    Background:

    • Metameric and spectral color matching are crucial in various industries.
    • Traditional methods can struggle with accuracy, particularly in challenging spectral regions.

    Purpose of the Study:

    • To apply a nonlinear optimization technique to color matching problems.
    • To evaluate the effectiveness of this technique in achieving feasible solutions and minimizing errors.

    Main Methods:

    • Utilized a nonlinear optimization approach.
    • Applied the technique to both metameric and spectral color matching scenarios.

    Main Results:

    • The nonlinear optimization technique consistently yielded feasible solutions.
    • Demonstrated significantly smaller errors compared to existing methods.
    • Showcased particular effectiveness in the high reflectance region.

    Conclusions:

    • Nonlinear optimization is a powerful tool for spectral and metameric color matching.
    • This method offers improved accuracy and reliability, especially for high reflectance materials.