The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Tracking immune cells in vivo using magnetic resonance imaging
Open accessAbstract
The increasing complexity of in vivo imaging technologies, coupled with the development of cell therapies, has fuelled a revolution in immune cell tracking in vivo. Powerful magnetic resonance imaging (MRI) methods are now being developed that use iron oxide- and 19F-based probes. These MRI technologies can be used for image-guided immune cell delivery and for the visualization of immune cell homing and engraftment, inflammation, cell physiology and gene expression. MRI-based cell tracking is now also being applied to evaluate therapeutics that modulate endogenous immune cell recruitment and to monitor emerging cellular immunotherapies. These recent uses show that MRI has the potential to be developed in many applications to follow the fate of immune cells in vivo.
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
Noninvasive detection of clinically occult lymph-node metastases in prostate cancer
Harisinghani, M. G., Barentsz, J., Hahn, P. F., Deserno, W. M., Tabatabaei, S., van de Kaa, C. H., de la Rosette, J., & Weissleder, R. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022749 · Cited by 1,971
de Vries, I. J. M., Lesterhuis, W. J., Barentsz, J. O., Verdijk, P., van Krieken, J. H., Boerman, O. C., Oyen, W. J. G., Bonenkamp, J. J., Boezeman, J. B., Adema, G. J., et al. (2005) · Nature Biotechnology · doi:10.1038/nbt1154 · Cited by 821
Self-citationKooi, M. E., Cappendijk, V. C., Cleutjens, K. B. J. M., Kessels, A. G. H., Kitslaar, P. J. E. H. M., Borgers, M., Frederik, P. M., Daemen, M. J. A. P., & van Engelshoven, J. M. A. (2003) · Circulation · doi:10.1161/01.cir.0000068315.98705.cc · Cited by 798
In vivo MRI cell tracking: clinical studies
Bulte, J. W. M. (2009) · American Journal of Roentgenology · doi:10.2214/ajr.09.3107 · Cited by 430
Self-citationArbab, A. S., Yocum, G. T., Rad, A. M., Khakoo, A. Y., Fellowes, V., Read, E. J., & Frank, J. A. (2005) · NMR in Biomedicine · doi:10.1002/nbm.991 · Cited by 297
Noninvasive imaging of pancreatic islet inflammation in type 1A diabetes patients
Gaglia, J. L., Guimaraes, A. R., Harisinghani, M., Turvey, S. E., Jackson, R., Benoist, C., Mathis, D., & Weissleder, R. (2011) · Journal of Clinical Investigation · doi:10.1172/jci44339 · Cited by 209
Vellinga, M. M., Oude Engberink, R. D., Seewann, A., Pouwels, P. J. W., Wattjes, M. P., van der Pol, S. M. A., Pering, C., Polman, C. H., de Vries, H. E., Geurts, J. J. G., et al. (2008) · Brain · doi:10.1093/brain/awn009 · Cited by 183
Cited by
The Effect of Nanoparticle Size on In Vivo Pharmacokinetics and Cellular Interaction
Hoshyar, N., Gray, S., Han, H., & Bao, G. (2016) · Nanomedicine · doi:10.2217/nnm.16.5 · Cited by 1,990
Nanomaterials for In Vivo Imaging
Smith, B. R., & Gambhir, S. S. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00073 · Cited by 1,075
Cheng, Y., Cheng, H., Jiang, C., Qiu, X., Wang, K., Huan, W., Yuan, A., Wu, J., & Hu, Y. (2015) · Nature Communications · doi:10.1038/ncomms9785 · Cited by 941
Cellular Cargo Delivery: Toward Assisted Fertilization by Sperm-Carrying Micromotors
Medina-Sánchez, M., Schwarz, L., Meyer, A. K., Hebenstreit, F., & Schmidt, O. G. (2016) · Nano Letters · doi:10.1021/acs.nanolett.5b04221 · Cited by 553
Fluoropolymers in Biomedical Applications: State-of-the-Art and Future Perspectives
Lv, J., & Cheng, Y. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00258e · Cited by 316
Metadata
- Authors
- Ahrens, E. T., & Bulte, J. W. M.
- Venue
- Nature Reviews Immunology
- Published
- 2013-09-10
- Volume
- 13
- Issue
- 10
- Pages
- 755-763
- ISSN
- 1474-1733 (ISSN-L)
- 1474-1741
- OpenAlex
- W2045883564
- Cited by
- 491
- References
- 7
- FWCI
- 5.74
- Type
- journal article
- Language
- en
- Open access
- green
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: Tracking immune cells in vivo using magnetic resonance imaging. https://app.cochat.ai/papers/10.1038/nri3531
- The paper
- Ahrens, E. T., & Bulte, J. W. M. (2013). Tracking immune cells in vivo using magnetic resonance imaging. Nature Reviews Immunology. https://doi.org/10.1038/nri3531
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.