Application of linear prediction singular value decomposition for processingin vivo NMR data with low signal-to-noise ratio

Summary Low sensitivity of nuclear magnetic resonance (NMR) measurements of living cell composition by conventional methods requires samples with high cell density compared to that in growing cultures. Reasonably accurate intracellular concentration estimates from lower cell density samples can be obtained by treating the time-domain NMR data by linear prediction singular value decomposition (LPSVD) prior to Fourier transformation. Alternatively, application of LPSVD enables intracellular concentration estimates in less NMR acquisition time, improving time resolution in NMR measurements of intracellular transients.