Here, we show that non-uniform weighted sampling (NUWS), coupled to NUS reconstruction algorithms, can provide a new solution to both problems. NUWS is an acquisition scheme originally developed to improve experimental sensitivity, by weighting acquisition in indirect dimensions towards early points in free induction decay (FID) signals, at which signal to noise levels are higher . Such non-uniform weighting has the effect of applying a window function directly, rather than through apodization, and it can be proved that window functions applied in this manner provide a 10-20% increase in experimental sensitivity (depending on the window function) compared to identical apodization of uniformly sampled data . These sensitivity gains can further accumulate in ≥3D experiments . The approach is particularly useful with combined with longitudinal relaxation-optimised experiments such as SOFAST or BEST experiments , the fast repetition rates of which allow a large number of scans to be acquired following a smoothly varying weighting scheme , and this has since been applied to highly sensitivity-limited studies of co-translational folding and chaperone interactions in ribosome-nascent chain complexes .