Hyperspectral imaging has brought new dimensions to vision research. Standard digital cameras, or the camera on a smart phone, records the world in front of you based on the response from only three sensors—red, green, and blue—and therefore some spectral information is lost. In contrast, a hyperspectral imaging system is composed of more than 30 spectral channels, so it is capable of recording intensity as a function of wavelength, at the pixel level. This tutorial paper by Foster and Amano provides a comprehensive introduction to such a system. It starts by presenting fundamental mechanisms, practical usage, and post-processing of images, and later sets out potential applications to vision research, with examples carefully selected from the literature. The paper offers valuable insights not only to beginners with expertise in a related field, but also to any researcher who is interested in the nature of the visual environment.

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