Perceived Color Difference of Nanoscale Spheroids in Colorimetry due to Dipolar Modes

Area of Science:

• Biomedical diagnostics
• Nanotechnology
• Color science

Background:

• Colorimetric assays are crucial for point-of-care (POC) devices, enabling rapid and low-cost health monitoring.
• Accurate interpretation of these assays depends on the reliable perception of color attributes like hue, chromaticity, and saturation.
• Existing POC devices face challenges in consistent color interpretation due to various influencing factors.

Purpose of the Study:

• To investigate the interplay between physical and biological factors influencing color perception in nanoparticle-based colorimetric assays.
• To develop a framework for designing nanoparticle labels that optimize perceived color differences for diverse observers.
• To enhance the reliability and accessibility of biomedical POC diagnostics.

Main Methods:

• Examined physical factors: nanoparticle shape, illumination conditions, and sample environment.
• Investigated biological factors: color vision deficits and optical signal processing.
• Utilized comparative measurements and computational simulations to analyze color perception.
• Designed and implemented nanoscale spheroids to maximize perceptual color differences.

Main Results:

• Identified key interactions between physical and biological factors affecting color difference perception.
• Demonstrated that nanoparticle shape and illumination significantly impact assay interpretation.
• Validated a design framework for nanoscale spheroids that enhance color discriminability.
• Showcased improved color difference perception for both normal and colorblind observers.

Conclusions:

• Optimized nanoparticle design, considering shape and illumination, is essential for robust colorimetric POC assays.
• The developed framework provides a rational approach to maximize perceptual color differences, benefiting a wider range of users.
• This research contributes to more accurate, accessible, and reliable low-cost diagnostic tools for global health monitoring.