Investigation of Widefield NV-Center Magnetic Imaging for Non-Destructive Materials Testing
Abstract
Due to progressing miniaturization, material fatigue is expected to gain importance on microscopic scales. Nevertheless, most non-destructive testing techniques are optimized for macroscopic scales. Therefore, new approaches applicable to miniaturized samples need to be explored. High spatial resolution imaging of a material's magnetic stray field enables sensitive detection of microstructural changes due to the local interplay of magnetic properties, strain, and defects. Up to now, this approach has rarely been used for materials testing since high-resolution magnetic sensing is traditionally challenging. Novel quantum sensing techniques offer the potential to close this gap. One of the most prominent quantum sensors, the nitrogen vacancy center in diamond, is investigated for non-destructive testing applications within the scope of this work. An experimental system based on a widefield sensing approach was developed to image magnetic stray field distributions within seconds to minutes over areas up to 1 x 1 mm2. Magnetic sensitivities below 10 μT/√(Hz) and a spatial resolution of 1-2 μm were achieved. The technique offers high mechanical stability, which is crucial for non-destructive testing applications. Comparison with magneto-optical Kerr effect measurements showed that the magnetic field maps are strongly correlated with the material's surface domains while containing additional information from deeper inside the sample. Characteristic changes in the magnetic stray field distribution were detected in an electrical steel sample after cyclic loading. A potential marker for early fatigue damage was deduced from the splitting gradient distribution, while 2D Fourier transform analysis provided additional insight.
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BibTeX
@misc{mathes2026investigation,
title = {{Investigation of Widefield NV-Center Magnetic Imaging for Non-Destructive Materials Testing}},
author = {Niklas Mathes and Marvin Feuerhelm and Simon Philipp and Ivan Soldatov and Philipp D'Astolfo and Peter Knittel and Thomas Straub and Jan Jeske and Rüdiger Quay and Xavier Vidal},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.27097},
eprint = {2609.27097},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.27097},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - UNPB
TI - Investigation of Widefield NV-Center Magnetic Imaging for Non-Destructive Materials Testing
AU - Niklas Mathes
AU - Marvin Feuerhelm
AU - Simon Philipp
AU - Ivan Soldatov
AU - Philipp D'Astolfo
AU - Peter Knittel
AU - Thomas Straub
AU - Jan Jeske
AU - Rüdiger Quay
AU - Xavier Vidal
PY - 2026
DA - 2026/09/24
PB - arXiv
DO - 10.48550/arxiv.2609.27097
UR - https://arxiv.org/abs/2609.27097
AB - Due to progressing miniaturization, material fatigue is expected to gain importance on microscopic scales. Nevertheless, most non-destructive testing techniques are optimized for macroscopic scales. Therefore, new approaches applicable to miniaturized samples need to be explored. High spatial resolution imaging of a material's magnetic stray field enables sensitive detection of microstructural changes due to the local interplay of magnetic properties, strain, and defects. Up to now, this approach has rarely been used for materials testing since high-resolution magnetic sensing is traditionally challenging. Novel quantum sensing techniques offer the potential to close this gap. One of the most prominent quantum sensors, the nitrogen vacancy center in diamond, is investigated for non-destructive testing applications within the scope of this work. An experimental system based on a widefield sensing approach was developed to image magnetic stray field distributions within seconds to minutes over areas up to 1 x 1 mm^2. Magnetic sensitivities below 10 μT/√(Hz) and a spatial resolution of 1-2 μm were achieved. The technique offers high mechanical stability, which is crucial for non-destructive testing applications. Comparison with magneto-optical Kerr effect measurements showed that the magnetic field maps are strongly correlated with the material's surface domains while containing additional information from deeper inside the sample. Characteristic changes in the magnetic stray field distribution were detected in an electrical steel sample after cyclic loading. A potential marker for early fatigue damage was deduced from the splitting gradient distribution, while 2D Fourier transform analysis provided additional insight.
ER -