SERS imaging is usually performed by full-spectrum raster scanning, point-by-point across the image, as, e.g., in confocal Raman microscopy.8 In every pixel, each contributing Raman-active molecule can then be isolated, based on their unique Raman signatures, typically applying polynomial curve fitting to subtract the background spectrum. This requires long integration times to acquire sufficient signal-to-noise in each pixel across the field of view.8,9 In the case of imaging the intrinsic NIR Raman signature of tissues or cells, the alternative would be to use an expensive focal plane array and a fast tunable filter. However, for imaging SERS contrast agents, since the location of the narrow SERS peaks of the reporter molecule(s) is known a priori, rapid background-free wide-field imaging should be possible using narrow-bandpass (BP) filters centered on these peaks. Then, for each peak, over sufficiently small spectral windows, all non-SERS contributions are approximately linear functions of wavenumber. Hence, the background can be accurately determined and subtracted by using narrrow BP filters immediately on each side of the SERS peak. Since this requires at most three images per SERS line of interest, the time to form a complete SERS contrast image is reduced by orders of magnitude over complete spectral mapping at equivalent optical resolution.9 Here, we present a proof-of-principle demonstration of this approach.