3 research outputs found
Optimized Current Density Reconstruction from Widefield Quantum Diamond Magnetic Field Maps
Quantum Diamond Microscopy using Nitrogen-Vacancy (NV) defects in diamond
crystals has enabled the magnetic field imaging of a wide variety of nanoscale
current profiles. Intimately linked with the imaging process is the problem of
reconstructing the current density, which provides critical insight into the
structure under study. This manifests as a non-trivial inverse problem of
current reconstruction from noisy data, typically conducted via Fourier-based
approaches. Learning algorithms and Bayesian methods have been proposed as
novel alternatives for inference-based reconstructions. We study the
applicability of Fourier-based and Bayesian methods for reconstructing
two-dimensional current density maps from magnetic field images obtained from
NV imaging. We discuss extensive numerical simulations to elucidate the
performance of the reconstruction algorithms in various parameter regimes, and
further validate our analysis via performing reconstructions on experimental
data. Finally, we examine parameter regimes that favor specific reconstruction
algorithms and provide an empirical approach for selecting regularization in
Bayesian methods.Comment: 12 Pages main paper with 7 Figures. 6 pages and 2 figures in
supplementary materia
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Spatially Resolved Quantum Sensing with High-Density Bubble-Printed Nanodiamonds
Nitrogen-vacancy (NV-) centers in nanodiamonds have emerged as a versatile platform for a wide range of applications, including bioimaging, photonics, and quantum sensing. However, the widespread adoption of nanodiamonds in practical applications has been hindered by the challenges associated with patterning them into high-resolution features with sufficient throughput. In this work, we overcome these limitations by introducing a direct laser-writing bubble printing technique that enables the precise fabrication of two-dimensional nanodiamond patterns. The printed nanodiamonds exhibit a high packing density and strong photoluminescence emission, as well as robust optically detected magnetic resonance (ODMR) signals. We further harness the spatially resolved ODMR of the nanodiamond patterns to demonstrate the mapping of two-dimensional temperature gradients using high frame rate widefield lock-in fluorescence imaging. This capability paves the way for integrating nanodiamond-based quantum sensors into practical devices and systems, opening new possibilities for applications involving high-resolution thermal imaging and biosensing