Localization microscopy for imaging at the nano-scale relies on the quality of fitting the emitter positions from the measured light spots. The type and magnitude of the noise in the detection process, the background light level and the Point Spread Function model that is used in the fit are of paramount importance for the precision and accuracy of the fit. We present several developments on the computational methods and performance limits of single emitter localization, targeting specifically these three aspects.