I spent two weeks last winter staring at a pollen grain from a Himalayan rhododendron — not because it was beautiful, though it was, but because every color I applied would shape how a thousand researchers read its surface topology. The raw SEM data arrived as a 16-bit grayscale stack. The moment I added color, I was editorializing.
The Color Problem Is a Perception Problem
False color mapping in electron microscopy dates to the early 1970s. By the time I started my postdoc in 2016, every lab had its own palette and none agreed on what the colors meant. Rainbow colormaps created false boundaries in continuous data, and red-blue channel swaps confused spined walls with smooth ones. The field needed a principled standard.
“When we map grayscale to gold, we are not revealing truth. We are choosing a metaphor.”