Quantum diamond microscope for dynamic imaging of magnetic fields

Abstract

Wide-field imaging of magnetic signals using ensembles of nitrogen-vacancy (NV) centers in diamond has garnered increasing interest due to its combination of micron-scale resolution, millimeter-scale field of view, and compatibility with diverse samples from across the physical and life sciences. Recently, wide-field NV magnetic imaging based on the Ramsey protocol has achieved uniform and enhanced sensitivity compared to conventional measurements. Here, we integrate the Ramsey-based protocol with spin-bath driving to extend the NV spin dephasing time and improve magnetic sensitivity. We also employ a high-speed camera to enable dynamic wide-field magnetic imaging. We benchmark the utility of this quantum diamond microscope (QDM) by imaging magnetic fields produced from a fabricated wire phantom. Over a 270 × 270 μm2 field of view, a median per-pixel magnetic sensitivity of 4.1(1) nT /Hz is realized with a spatial resolution ≲ 10 μm and sub-millisecond temporal resolution. Importantly, the spatial magnetic noise floor can be reduced to the picotesla scale by time-averaging and signal modulation, which enables imaging of a magnetic-field pattern with a peak-to-peak amplitude difference of about 300 pT. Finally, we discuss potential new applications of this dynamic QDM in studying biomineralization and electrically active cells.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 17, 2023
Source ID
10.1116/5.0176317

Entities

People

  • Connor Hart
  • Jennifer M. Schloss
  • Jiashen Tang
  • Jner Tzern Oon
  • John W Blanchard
  • Matthew J. Turner
  • Ronald L. Walsworth
  • Smriti Bhalerao
  • Zechuan Yin

Organizations

  • Air Force Office of Scientific Research
  • Army Research Office
  • Gordon and Betty Moore Foundation
  • Massachusetts Institute of Technology
  • National Science Foundation
  • United States Army Research Laboratory
  • University of Maryland

Tags

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.
  • Superconducting Magnet Technology

Technology Areas

  • Quantum Computing
  • Quantum Science - Quantum Dots