The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Using 915 nm Laser Excited Tm3+/Er3+/Ho3+-Doped NaYbF4 Upconversion Nanoparticles for in Vitro and Deeper in Vivo Bioimaging without Overheating Irradiation
Abstract
Successful further development of superhigh-constrast upconversion (UC) bioimaging requires addressing the existing paradox: 980 nm laser light is used to excite upconversion nanoparticles (UCNPs), while 980 nm light has strong optical absorption of water and biological specimens. The overheating caused by 980 nm excitation laser light in UC bioimaging is computationally and experimentally investigated for the first time. A new promising excitation approach for better near-infrared to near-infrared (NIR-to-NIR) UC photoluminescence in vitro or in vivo imaging is proposed employing a cost-effective 915 nm laser. This novel laser excitation method provides drastically less heating of the biological specimen and larger imaging depth in the animals or tissues due to quite low water absorption. Experimentally obtained thermal-graphic maps of the mouse in response to the laser heating are investigated to demonstrate the less heating advantage of the 915 nm laser. Our tissue phantom experiments and simulations verified that the 915 nm laser is superior to the 980 nm laser for deep tissue imaging. A novel and facile strategy for surface functionalization is utilized to render UCNPs hydrophilic, stable, and cell targeting. These as-prepared UCNPs were characterized by TEM, emission spectroscopy, XRD, FTIR, and zeta potential. Specifically targeting UCNPs excited with a 915 nm laser have shown very high contrast UC bioimaging. Highly stable DSPE-mPEG-5000-encapsulated UCNPs were injected into mice to perform in vivo imaging. Imaging and spectroscopy analysis of UC photoluminescence demonstrated that a 915 nm laser can serve as a new promising excitation light for UC animal imaging.
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
On the Cyto‐Toxicity Caused by Quantum Dots
Shiohara, A., Hoshino, A., Hanaki, K., Suzuki, K., & Yamamoto, K. (2004) · Microbiology and Immunology · doi:10.1111/j.1348-0421.2004.tb03478.x · Cited by 385
Cited by
An overview of nanoparticles commonly used in fluorescent bioimaging
Wolfbeis, O. S. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00392f · Cited by 1,631
Zheng, W., Huang, P., Tu, D., Ma, E., Zhu, H., & Chen, X. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00178h · Cited by 894
X-ray-activated persistent luminescence nanomaterials for NIR-II imaging
Pei, P., Chen, Y., Sun, C., Fan, Y., Yang, Y., Liu, X., Lu, L., Zhao, M., Zhang, H., Zhao, D., et al. (2021) · Nature Nanotechnology · doi:10.1038/s41565-021-00922-3 · Cited by 718
Zhong, Y., Tian, G., Gu, Z., Yang, Y., Gu, L., Zhao, Y., Ma, Y., & Yao, J. (2014) · Advanced Materials · doi:10.1002/adma.201304903 · Cited by 448
Sun, L.-D., Wang, Y.-F., & Yan, C.-H. (2014) · Accounts of Chemical Research · doi:10.1021/ar400218t · Cited by 363
Metadata
- Authors
- Zhan, Q., Qian, J., Liang, H., Somesfalean, G., Wang, D., He, S., Zhang, Z., & Andersson-Engels, S.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-05-02
- Volume
- 5
- Issue
- 5
- Pages
- 3744-3757
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2080319759
- Cited by
- 523
- References
- 1
- FWCI
- 20.14
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.