Artificial neural networks enable the extraction of multiple parameters, including spectral and depth information, from unmodified experimental single-molecule images for multidimensional super-resolution microscopy. Good color separation is thus achieved in fixed cells using two dyes ~80 nm apart in emission wavelength.
