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Three-dimensional magnetic resonance tomography with sub-10 nanometer resolution

MetadataDetails
Publication Date2024-01-25
Journalnpj Quantum Information
AuthorsMohammad T. Amawi, Andrii Trelin, You Huang, Paul Weinbrenner, Francesco Poggiali
InstitutionsUniversity of Rostock, Technical University of Munich
Citations4
AnalysisFull AI Review Included

This research demonstrates a breakthrough in nanoscale magnetic resonance tomography (MRT), achieving sub-10 nanometer resolution in three dimensions using Nitrogen-Vacancy (NV) centers in diamond.

  • Record Resolution: Achieved a spatial resolution down to 5.9 ± 0.1 nm, which is comparable to or better than the best existing super-resolution optical microscopy techniques (e.g., PALM/STORM).
  • 3D Fourier Acceleration: Implemented Fourier-accelerated 3D imaging by using lithographically fabricated U-shaped microwires to generate three linearly independent, switchable magnetic field gradients.
  • Gradient Device: The device utilizes a 200 nm Gold film microstructure on a densely doped CVD diamond substrate ([NV] ≈ 0.13 ppb) to produce gradients of approximately 2 G”m-1.
  • High-Speed Control: Gradient pulses are controlled by fast switches (1 ns rise/fall time) and corrected via hardware integration of the current integral to mitigate shot-to-shot fluctuations and maintain coherence (T2,⊄ ≈ 8.64 ”s).
  • Compressed Sensing Zoom: Demonstrated a novel compressed sensing scheme (“Fourier zooming”) based on equidistant k-space undersampling and aliasing, allowing for efficient acquisition of spatially localized volumes of interest (e.g., clusters of NV centers) with reduced data points (up to 18x reduction).
  • Impact: This technique establishes a three-dimensional super-resolution method for optically readable spin qubits, enabling 3D structure analysis and approaching the positioning accuracy required for site-directed spin labeling.
ParameterValueUnitContext
Spatial Resolution (Best Axis)5.9 ± 0.1nmUncertainty in 3D MRT imaging (ΔX)
Spatial Resolution (Full 3D)(5.9, 9.9, 14.7)nmResolution across the three gradient axes
Gradient Field Magnitude≈ 2G”m-1Generated by U-microstructure wires
Gradient Field Magnitude (SI)2 * 102Tm-1SI equivalent of the gradient field
NV Center Density≈ 0.13ppbElement Six General Grade CVD diamond doping
Wire Material Stack200 nm Au on 10 nm CrnmMicrofabricated U-structure composition
Wire Dimensions (Arms)5 ”m long, 500 nm wide”m, nmU-microstructure geometry
Bias Magnetic Field (B0)≈ 76GApplied homogeneous field
Gradient Pulse Rise/Fall Time1nsPerformance of fast switches (ic-Haus HGP)
Coherence Time (T2,⊄)8.64 ± 0.10”sMeasured decay time under gradient current I2
Imaging Depth≈ 6”mDistance below the diamond surface
Acquisition Speed-up (Zoom)Up to 18FactorAchieved using aliasing-based compressed sensing
  1. Device Fabrication: A U-shaped microstructure consisting of a 200 nm Gold film atop a 10 nm Chromium layer was fabricated via lift-off photolithography directly onto a densely doped CVD diamond substrate hosting NV centers.
  2. Gradient Generation: Three independent currents (I1, I2, I3) were driven through the three arms of the U-structure, generating three linearly independent magnetic field gradients (≈ 2 G”m-1) in the imaging plane ≈ 6 ”m beneath the diamond surface.
  3. Pulse Control and Stability: Gradient currents were generated by switching a stable voltage source using ultra-fast switches (ic-Haus HGP) to ensure nearly rectangular pulses with 1 ns rise/fall times, crucial for satisfying the linear phase-encoding approximation.
  4. Decoherence Mitigation: To correct for current fluctuations and residual nonlinearities, the current integral ∫I(t)dt was acquired via hardware integration for every pulse. This value was used to define a corrected time axis (teff), suppressing chirps and improving the effective coherence time (T2,⊄).
  5. 3D Spectroscopy: A Hahn Echo sequence was employed, incorporating the three gradient pulses consecutively. The accumulated phase shift translates into an oscillatory spin signal (Sz(t)), which is a linear superposition of signals from all NV centers.
  6. Standard Image Reconstruction: The set of three Larmor frequency shifts (ωI1, ωI2, ωI3) corresponding to the NV center positions was recovered by performing a 3D inverse Fourier transform of the time-domain data (k-space).
  7. Compressed Sensing (Fourier Zooming): For efficient imaging of localized clusters, the time-domain signal was equidistantly undersampled. This induced aliasing, shifting the signal frequency band to a contiguous low-frequency window, effectively implementing a zoom and reducing the required data points by over an order of magnitude without requiring L1 minimization.
  • Structural Biology and Protein Analysis:
    • Direct, real-space 3D imaging of spin-labeled proteins, providing distance constraints >80 A, which is currently a blind spot for standard Electron Spin Resonance (ESR) spectroscopy.
    • Enabling Single-Molecule MRI (SM-MRI) by using a single NV center as a detector for electron spin labels on external molecules.
  • Quantum Information and Computing:
    • Selective addressing and manipulation of individual, coherently coupled qubits within densely doped NV center ensembles, facilitating the development of robust quantum registers.
    • High-resolution mapping of crystal strain, enabling applications in directional detection of dark matter or other elementary particles.
  • Nanoscale Metrology and Sensing:
    • Super-resolved tracking and measurement of forces (e.g., magnetic or mechanical) at the nanoscale, particularly when applied to NV centers embedded in nanodiamonds.
    • Potential for label-free chemical contrast imaging within opaque samples, providing an ultimate microscope capability for nuclear spins.
View Original Abstract

Abstract We demonstrate three-dimensional magnetic resonance tomography with a resolution down to 5.9 ± 0.1 nm. Our measurements use lithographically fabricated microwires as a source of three-dimensional magnetic field gradients, which we use to image NV centers in a densely doped diamond by Fourier-accelerated magnetic resonance tomography. We also demonstrate a compressed sensing scheme, which allows for direct visual interpretation without numerical optimization and implements an effective zoom into a spatially localized volume of interest, such as a localized cluster of NV centers. It is based on aliasing induced by equidistant undersampling of k-space. The resolution achieved in our work is comparable to the best existing schemes of super-resolution microscopy and approaches the positioning accuracy of site-directed spin labeling, paving the way to three-dimensional structure analysis by magnetic-gradient based tomography.