While normal cameras capture images using three basic color bands—red, green, and blue (RGB)—hyperspectral imaging divides light into hundreds of narrow wavelength bands, generating a highly detailed "spectral fingerprint" for every pixel in the image. This unique spectral fingerprint enhances AI's ability to identify disease biomarkers that may blend into the background in RGB imaging.