New Publication: Improving the Sensitivity of Magnetic Resonance Measurements
Jason W. Sidabras, PhD, assistant professor in the Department of Biophysics, has published a new article in Magnetic Resonance titled "Segmented-overlap Fourier filtering and averaging (SOFFA) approach to improve concentration sensitivity of magnetic resonance spectra." The study introduces SOFFA, a novel signal processing method that enhances the detection of weak magnetic resonance signals by at least a factor of 6 without requiring changes to commercially available Bruker EPR hardware. By improving sensitivity, this approach has the potential to benefit a wide range of applications in EPR enabling researchers to detect lower concentrations and smaller samples while advancing biomedical and translational magnetic resonance research.