ArticleScientific reports2022
Accurate magnetic field imaging using nanodiamond quantum sensors enhanced by machine learning.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Inverse-Designed Nanophotonic Structures for On-Chip Excitation and Broadband Emission Extraction in Diamond Quantum Spin Sensing.Nanophotonics (Berlin, Germany) · 2026Article
- OptimDase: An Algorithm for Predicting DNA Binding Sites with Combined Feature Encoding.Interdisciplinary sciences, computational life sciences · 2025Article
- Thermodynamic Biomarkers of Neuroinflammation: Nanothermometry, Energy-Stress Dynamics, and Predictive Entropy in Glial-Vascular Networks.International journal of molecular sciences · 2025Review
- Review
- Sensing of Magnetic-Field Gradients with Nanodiamonds on Optical Glass-Fiber Facets.ACS applied nano materials · 2023Article
- Edge-Machine-Learning-Assisted Robust Magnetometer Based on Randomly Oriented NV-Ensembles in Diamond.Sensors (Basel, Switzerland) · 2023Article
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Authors and funding
6 authors.
Funding
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Abstract
Nanodiamonds can be excellent quantum sensors for local magnetic field measurements. We demonstrate magnetic field imaging with high accuracy of 1.8 [Formula: see text]T combining nanodiamond ensemble (NDE) and machine learning without any physical models. We discover the dependence of the NDE signal on the field direction, suggesting the application of NDE for vector magnetometry and the improvement of the existing model. Our method enhances the NDE performance sufficiently to visualize nano-magnetism and mesoscopic current and expands the applicability of NDE in arbitrarily shaped materials, including living organisms. This accomplishment bridges machine learning to quantum sensing for accurate measurements.
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Registered trials
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