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Atomic-Scale Nuclear Spin Imaging Using Quantum-Assisted Sensors in Diamond

A. Ajoy, U. Bissbort, M. D. Lukin, R. L. Walsworth, and P. Cappellaro
Phys. Rev. X 5, 011001 – Published 7 January 2015
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Abstract

Nuclear spin imaging at the atomic level is essential for the understanding of fundamental biological phenomena and for applications such as drug discovery. The advent of novel nanoscale sensors promises to achieve the long-standing goal of single-protein, high spatial-resolution structure determination under ambient conditions. In particular, quantum sensors based on the spin-dependent photoluminescence of nitrogen-vacancy (NV) centers in diamond have recently been used to detect nanoscale ensembles of external nuclear spins. While NV sensitivity is approaching single-spin levels, extracting relevant information from a very complex structure is a further challenge since it requires not only the ability to sense the magnetic field of an isolated nuclear spin but also to achieve atomic-scale spatial resolution. Here, we propose a method that, by exploiting the coupling of the NV center to an intrinsic quantum memory associated with the nitrogen nuclear spin, can reach a tenfold improvement in spatial resolution, down to atomic scales. The spatial resolution enhancement is achieved through coherent control of the sensor spin, which creates a dynamic frequency filter selecting only a few nuclear spins at a time. We propose and analyze a protocol that would allow not only sensing individual spins in a complex biomolecule, but also unraveling couplings among them, thus elucidating local characteristics of the molecule structure.

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  • Received 1 August 2014

DOI:https://doi.org/10.1103/PhysRevX.5.011001

This article is available under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Published by the American Physical Society

Authors & Affiliations

A. Ajoy1, U. Bissbort1,2, M. D. Lukin3, R. L. Walsworth4, and P. Cappellaro1

  • 1Research Laboratory of Electronics and Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
  • 2Singapore University of Technology and Design, 138682 Singapore
  • 3Physics Department Harvard University, Cambridge, Massachusetts 02138, USA
  • 4Harvard-Smithsonian Center for Astrophysics and Center for Brain Science, Cambridge, Massachusetts 02138, USA

Popular Summary

Novel magnetic-field quantum sensors have recently detected extrinsic nuclear spins with a sensitivity approaching the single-atom level. These sensors are based on the quantum properties of electronic spins associated with shallow nitrogen-vacancy (NV) defect centers in diamond. An outstanding challenge is to resolve the contributions arising from distinct nuclear spins in a dense sample and use the acquired signal to reconstruct the positions of the spins. We propose a strategy combining the use of a quantum memory intrinsic to the NV system with quantum control to boost the spatial resolution of NV-based magnetic resonance imaging.

Investigating the molecular structure of proteins is critical to designing drugs to bind to specific protein receptor sites. Techniques used thus far for probing molecular structure, including x-ray crystallography and nuclear magnetic resonance imaging, have several drawbacks, such as the requirement that proteins be synthesized in sizable amounts and crystallized. We present a new technique for imaging single proteins in their natural surroundings, and we conduct simulations with the chemokine receptor CXCR4, which is associated with cancer metastasis. We employ NV electronic spins in diamond to conduct magnetic imaging, in which the polarization of the NV spin is transferred to the surrounding nuclear spins via magnetic dipole interactions, spreading via diffusion. The polarization is then returned to the NV spin and the linked nuclear spins are imaged. Thanks to long coherence times provided by a quantum memory and the filtering effect of pulsed microwave control, we achieve a tenfold improvement in spatial resolution over other NV-based methods.

Our strategy, which yields subangstrom spatial resolution, promises to make diamond-based quantum sensors an invaluable technology for bioimaging, as they could reconstruct the local structure of biomolecules, without the need to synthesize large ensembles or alter their natural environment.

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Vol. 5, Iss. 1 — January - March 2015

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