Electron Paramagnetic Resonance, EPR, has initially been used in physics and chemistry but later it has been extended and found applications in biology for understanding human disease and physiology. In vivo studies of EPR are quite interestingly applied to different and challenging biological complications, e.g. cancer tumor microenvironment measurements. Results of EPR imaging are potentially useful for treatment planning (Ref. Prof. Howard Halpern talk).

An existing issue with EPR is its low signal to noise ratio, i.e. low resolution. We propose quantum hyperpolarization techniques as possible approaches for improving resolution in resonance spectroscopies and imaging. Spin systems such as NMR and EPR are known to be among the most promising candidates for exploiting quantum effects and implementing quantum algorithms. Better resolution in quantum practices is only achieved by highly pure spins therefore there are already clever approaches to prepare pure spins, for example DNP followed by heath-bath algorithmic cooling, known by quantum information processing community. We aim in brining those findings from quantum information processing to preclinical studies where high resolution MRI/EPR is seriously demanding.

Acknowledgments Supported by NIH grants P41 EB002034 and R01 CA98575.