In this poster we compare conventional baseline correction methods with new maximum entropy based methods. In particular we examine how they perform in four frequently encountered, but very testing, cases: 1. A complicated (oscillating) baseline. 75 MHz 13C labelled (99%) 1,4-dicyanobutane/urea MAS spectrum. 2. A crowded spectrum where there is little baseline information available. The 600 MHz 1H spectrum of human blood albumen. 3. Severe edge distortions. A 600 MHz 1H spectrum of rat urine. 4. Low S/N where a high dynamic range is required due to the presence of a strong solvent resonance. The middle row of a watergate-ROESY of an oligopeptide showing peaks correlating to the water.
