Person: Lukin, Mikhail
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Publication Imaging Mesoscopic Nuclear Spin Noise with a Diamond Magnetometer
(American Institute of Physics, 2010) Meriles, Carlos A.; Jiang, Liang; Goldstein, Garry; Hodges, Jonathan S.; Maze, Jeronimo; Lukin, Mikhail; Cappellaro, PaolaMagnetic resonance imaging can characterize and discriminate among tissues using their diverse physical and biochemical properties. Unfortunately, submicrometer screening of biological specimens is presently not possible, mainly due to lack of detection sensitivity. Here we analyze the use of a nitrogen-vacancy center in diamond as a magnetic sensor for nanoscale nuclear spin imaging and spectroscopy. We examine the ability of such a sensor to probe the fluctuations of the “classical” dipolar field due to a large number of neighboring nuclear spins in a densely protonated sample. We identify detection protocols that appropriately take into account the quantum character of the sensor and find a signal-to-noise ratio compatible with realistic experimental parameters. Through various example calculations we illustrate different kinds of image contrast. In particular, we show how to exploit the comparatively long nuclear spin correlation times to reconstruct a local, high-resolution sample spectrum.
Publication Magnetic Field Imaging with Nitrogen-Vacancy Ensembles
(Institute of Physics, 2011) Pham, Linh; Le Sage, David; Stanwix, Paul L.; Yeung, Tsun Kwan; Glenn, David; Trifonov, Alexei; Cappellaro, Paola; Hemmer, Philip; Lukin, Mikhail; Park, Hongkun; Yacoby, Amir; Walsworth, RonaldWe demonstrate a method of imaging spatially varying magnetic fields using a thin layer of nitrogen-vacancy (NV) centers at the surface of a diamond chip. Fluorescence emitted by the two-dimensional NV ensemble is detected by a CCD array, from which a vector magnetic field pattern is reconstructed. As a demonstration, ac current is passed through wires placed on the diamond chip surface, and the resulting ac magnetic field patterns are imaged using an echo-based technique with sub-micron resolution over a (140 \mu m) x (140 \mu m) field of view, giving single-pixel sensitivity (\sim 100 nT / \sqrt{Hz}). We discuss ongoing efforts to further improve the sensitivity, as well as potential bioimaging applications such as real-time imaging of activity in functional, cultured networks of neurons.