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If your hypotheses depend on the appearance of the object to a specific visual system/model species, or absolute measures of colour are required then cone-catch images are recommended.

This conversion produces images based on the spectral sensitivities of a given visual system. The images are device independent (different cameras, or spectrometers should all produce the same results).

The equipment required will depend on the sensitivities of the visual system in question (see equipment section).

Additionally, conversion to cone-catch images is essential when using non-linear images which use complex colour spaces (other than sRGB). For example, the DCI-P3 colour space, which is becoming more common (e.g. high-end smart phones now use this as standard).

There are two methods available in the micaToolbox for generating cone-catch models:

Creating Cone-Catch Models
Last Updated On January 21, 2019