Just a note on UX and visualization: Mapping temperature to a color/wavelength is not the perceptually best way to convey data. Humans are not good at estimating the distance between two data points when using a rainbow color scale. Using luminosity would be much better, or even a color scheme that uses saturation. See e.g. <a href="http://colorbrewer2.org/" rel="nofollow">http://colorbrewer2.org/</a>. Different schemes are perceptually good to use depending on whether your data is categorical, scalar or(/and) has a fixed center value that has semantic meaning. It doesn't look like the actual camera uses this mapping, but the demo pictures on the front page do. I'm not sure which color scale is used for the actual camera interface.<p>A side note to this: Sometimes, users expect a particular color mapping and will object to using a coloring scheme that is perceptually better. E.g. doctors often view diffusion tensor images where each point in the image represents a 3-dimensional value, using the RGB colors for each dimension. This is a perceptually horrific choice, since practical demonstrations would reveal that there is significant perceptual ambiguity when viewing data represented like this. But an engineer once made a prototype that used this mapping, and now the operators are unwilling to change their habits.