The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.
Quantum sensors for biomedical applications
Open accessAbstract
Quantum sensors are finding their way from laboratories to the real world, as witnessed by the increasing number of start-ups in this field. The atomic length scale of quantum sensors and their coherence properties enable unprecedented spatial resolution and sensitivity. Biomedical applications could benefit from these quantum technologies, but it is often difficult to evaluate the potential impact of the techniques. This Review sheds light on these questions, presenting the status of quantum sensing applications and discussing their path towards commercialization. The focus is on two promising quantum sensing platforms: optically pumped atomic magnetometers, and nitrogen–vacancy centres in diamond. The broad spectrum of biomedical applications is highlighted by four case studies ranging from brain imaging to single-cell spectroscopy. Quantum sensors enable new possibilities in biomedical applications due to their high sensitivity. In this Review, the status of quantum sensing is presented, and the path towards real-world applications on the molecular, cellular and organism scale is evaluated.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Quantum supremacy using a programmable superconducting processor
Arute, F., Arya, K., Babbush, R., Bacon, D., Bardin, J. C., Barends, R., Biswas, R., Boixo, S., Brandao, F. G. S. L., Buell, D. A., et al. (2019) · Nature · doi:10.1038/s41586-019-1666-5 · Cited by 7,720
Free radicals, antioxidants and functional foods: impact on human health
Lobo, V, Patil, A., Phatak, A., & Chandra, N. (2010) · Pharmacognosy Reviews · doi:10.4103/0973-7847.70902 · Cited by 5,435
Hämäläinen, M., Hari, R., Ilmoniemi, R. J., Knuutila, J., & Lounasmaa, O. V. (1993) · Reviews of Modern Physics · doi:10.1103/revmodphys.65.413 · Cited by 4,684
Degen, C. L., Reinhard, F., & Cappellaro, P. (2017) · Reviews of Modern Physics · doi:10.1103/revmodphys.89.035002 · Cited by 4,045
Image Formation by Induced Local Interactions: Examples Employing Nuclear Magnetic Resonance
LAUTERBUR, P. C. (1973) · Nature · doi:10.1038/242190a0 · Cited by 3,611
The properties and applications of nanodiamonds
Mochalin, V. N., Shenderova, O., Ho, D., & Gogotsi, Y. (2012) · Nature Nanotechnology · doi:10.1038/nnano.2011.209 · Cited by 2,745
Quantum computational advantage using photons
Zhong, H.-S., Wang, H., Deng, Y.-H., Chen, M.-C., Peng, L.-C., Luo, Y.-H., Qin, J., Wu, D., Ding, X., Hu, Y., et al. (2020) · Science · doi:10.1126/science.abe8770 · Cited by 2,405
Nanoscale imaging magnetometry with diamond spins under ambient conditions
Balasubramanian, G., Chan, I. Y., Kolesov, R., Al-Hmoud, M., Tisler, J., Shin, C., Kim, C., Wojcik, A., Hemmer, P. R., Krueger, A., et al. (2008) · Nature · doi:10.1038/nature07278 · Cited by 1,999
Nanoscale magnetic sensing with an individual electronic spin in diamond
Maze, J. R., Stanwix, P. L., Hodges, J. S., Hong, S., Taylor, J. M., Cappellaro, P., Jiang, L., Dutt, M. V. G., Togan, E., Zibrov, A. S., et al. (2008) · Nature · doi:10.1038/nature07279 · Cited by 1,984
Self-citationParamagnetic metal complexes as water proton relaxation agents for NMR imaging: theory and design
Lauffer, R. B. (1987) · Chemical Reviews · doi:10.1021/cr00081a003 · Cited by 1,978
Cited by
Alzheimer’s disease: from early pathogenesis to novel therapeutic approaches
Prajapati, S. K., Pathak, A., & Samaiya, P. K. (2024) · Metabolic Brain Disease · doi:10.1007/s11011-024-01389-6 · Cited by 21
Metadata
- Authors
- Aslam, N., Zhou, H., Urbach, E. K., Turner, M. J., Walsworth, R. L., Lukin, M. D., & Park, H.
- Venue
- Nature Reviews Physics
- Published
- 2023-02-03
- Volume
- 5
- Issue
- 3
- Pages
- 157-169
- ISSN
- 2522-5820 (ISSN-L)
- OpenAlex
- W4319079672
- Cited by
- 527
- References
- 128
- FWCI
- 6.10
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Quantum sensors for biomedical applications. https://app.cochat.ai/papers/10.1038/s42254-023-00558-3
- The paper
- Aslam, N., Zhou, H., Urbach, E. K., Turner, M. J., Walsworth, R. L., Lukin, M. D., & Park, H. (2023). Quantum sensors for biomedical applications. Nature Reviews Physics. https://doi.org/10.1038/s42254-023-00558-3
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
