Electron paramagnetic resonance microscopy using spins in diamond under ambient conditions

David A Simpson; Robert G Ryan; Liam T Hall; Evgeniy Panchenko; Simon C Drew; Steven Petrou; Paul S Donnelly; Paul Mulvaney; Lloyd CL Hollenberg

Journal article

Electron paramagnetic resonance microscopy using spins in diamond under ambient conditions

David A Simpson, Robert G Ryan, Liam T Hall, Evgeniy Panchenko, Simon C Drew, Steven Petrou, Paul S Donnelly, Paul Mulvaney, Lloyd CL Hollenberg

NATURE COMMUNICATIONS | NATURE PUBLISHING GROUP | Published : 2017

DOI: 10.1038/s41467-017-00466-y

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Abstract

Magnetic resonance spectroscopy is one of the most important tools in chemical and bio-medical research. However, sensitivity limitations typically restrict imaging resolution to ~ 10 µm. Here we bring quantum control to the detection of chemical systems to demonstrate high-resolution electron spin imaging using the quantum properties of an array of nitrogen-vacancy centres in diamond. Our electron paramagnetic resonance microscope selectively images electronic spin species by precisely tuning a magnetic field to bring the quantum probes into resonance with the external target spins. This provides diffraction limited spatial resolution of the target spin species over a field of view of 50 × ..

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University of Melbourne Researchers

Steven Petrou Author Florey Department of Neuroscience and Mental Health

Lloyd Hollenberg Author Physics

Liam Hall Author Chemistry

Eugene Panchenko Author Physics

David Simpson Author Physics

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Grants

Awarded by Australian Research Council Centre of Excellence for Quantum Computation and Communication Technology

Awarded by Australian Research Council

Awarded by NHMRC

Awarded by ARC

Funding Acknowledgements

The authors acknowledge Drs. Nikolai Dontschuk and Stuart Earl for assistance with the Electron beam lithography. This research was supported in part by the Australian Research Council Centre of Excellence for Quantum Computation and Communication Technology (Project number CE110001027). This work was also supported by the University of Melbourne through the Centre for Neural Engineering and the Centre for Neuroscience. L.C.L.H. acknowledges support of the Australian Research Council under the Laureate Fellowship scheme (FL130100119). S.P. acknowledges the support from the NHMRC Fellowship scheme (1005050). P.S.D. acknowledges the support from the ARC Future Fellowship scheme (FT130100204). S.C.D. acknowledges the support from the ARC Future Fellowship scheme (FT11010019). D.A.S. acknowledges support from the Melbourne Neuroscience Institute Fellowship Scheme.