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Color Vision

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.

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Choosing Suitable Color Palettes for Accessible and Accurate Science Figures.

Fabio Crameri¹, Grace E Shephard^2,3, Philip J Heron⁴

¹Undertone.design, Bern, Switzerland.

Current Protocols

|August 20, 2024

Summary

Proper scientific coloring is crucial for effective data visualization. This guide provides essential tools and resources to improve color use in scientific research, publishing, and communication for accuracy and accessibility.

Keywords:

color figures graphics science communication visualization

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Published on: August 19, 2021

Area of Science:

Scientific visualization
Data communication
Research methodology

Background:

Color choice in science is critical for conveying results, extending beyond mere aesthetics.
Effective use of color in scientific figures is underutilized despite its importance.
Scientific visualization relies heavily on accurate and accessible color representation.

Purpose of the Study:

To provide a concise overview of essential color tools for scientific applications.
To offer practical resources for implementing proper color usage in science.
To guide researchers in identifying and rectifying color-related issues in scientific figures.

Main Methods:

Literature review of color theory and application in scientific visualization.
Compilation of ready-to-apply resources and tools for scientific coloring.
Development of a guide for spotting and mastering scientific color methodologies.

Main Results:

An overview of key color tools and practical resources is presented.
Guidance is provided for the application of color in various scientific contexts including research, publishing, and teaching.
Strategies are offered to enhance the accessibility and accuracy of scientific figures through improved color handling.

Conclusions:

Mastering scientific coloring is essential for clear and accurate data representation.
Accessible and accurate color use in scientific figures can be achieved through informed methodology.
This work supports the effective use of color across scientific research, communication, and education.