DeVience, Stephen J.Pham, LinhLovchinsky, IgorSushkov, AlexanderBar-Gill, NirBelthangady, ChinmayCasola, FrancescoCorbett, MadeleineZhang, HuiliangLukin, MikhailPark, HongkunYacoby, AmirWalsworth, Ronald2015-06-122015DeVience, Stephen J., Linh M. Pham, Igor Lovchinsky, Alexander O. Sushkov, Nir Bar-Gill, Chinmay Belthangady, Francesco Casola, et al. 2015. “Nanoscale NMR Spectroscopy and Imaging of Multiple Nuclear Species.” Nature Nanotechnology 10 (2) (January 5): 129–134. doi:10.1038/nnano.2014.313.1748-3387http://nrs.harvard.edu/urn-3:HUL.InstRepos:16319717Nuclear magnetic resonance (NMR) spectroscopy and magnetic resonance imaging (MRI) provide non-invasive information about multiple nuclear species in bulk matter, with wide-ranging applications from basic physics and chemistry to biomedical imaging1. However, the spatial resolution of conventional NMR and MRI is limited2 to several micrometres even at large magnetic fields (>1 T), which is inadequate for many frontier scientific applications such as single-molecule NMR spectroscopy and in vivo MRI of individual biological cells. A promising approach for nanoscale NMR and MRI exploits optical measurements of nitrogen–vacancy (NV) colour centres in diamond, which provide a combination of magnetic field sensitivity and nanoscale spatial resolution unmatched by any existing technology, while operating under ambient conditions in a robust, solid-state system3, 4, 5. Recently, single, shallow NV centres were used to demonstrate NMR of nanoscale ensembles of proton spins, consisting of a statistical polarization equivalent to ∼100–1,000 spins in uniform samples covering the surface of a bulk diamond chip6, 7. Here, we realize nanoscale NMR spectroscopy and MRI of multiple nuclear species (1H, 19F, 31P) in non-uniform (spatially structured) samples under ambient conditions and at moderate magnetic fields (∼20 mT) using two complementary sensor modalities.en-USNanoscale NMR spectroscopy and imaging of multiple nuclear speciesJournal Article2015-06-1210.1038/nnano.2014.313