The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Broadband Absorbing Semiconducting Polymer Nanoparticles for Photoacoustic Imaging in Second Near-Infrared Window
Open accessAbstract
Photoacoustic (PA) imaging holds great promise for preclinical research and clinical practice. However, most studies rely on the laser wavelength in the first near-infrared (NIR) window (NIR-I, 650-950 nm), while few studies have been exploited in the second NIR window (NIR-II, 1000-1700 nm), mainly due to the lack of NIR-II absorbing contrast agents. We herein report the synthesis of a broadband absorbing PA contrast agent based on semiconducting polymer nanoparticles (SPN-II) and apply it for PA imaging in NIR-II window. SPN-II can absorb in both NIR-I and NIR-II regions, providing the feasibility to directly compare PA imaging at 750 nm with that at 1064 nm. Because of the weaker background PA signals from biological tissues in NIR-II window, the signal-to-noise ratio (SNR) of SPN-II resulted PA images at 1064 nm can be 1.4-times higher than that at 750 nm when comparing at the imaging depth of 3 cm. The proof-of-concept application of NIR-II PA imaging is demonstrated in in vivo imaging of brain vasculature in living rats, which showed 1.5-times higher SNR as compared with NIR-I PA imaging. Our study not only introduces the first broadband absorbing organic contrast agent that is applicable for PA imaging in both NIR-I and NIR-II windows but also reveals the advantages of NIR-II over NIR-I in PA imaging.
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Cites
Photoacoustic tomography: In vivo imaging from organelles to organs
Wang, L. V., & Hu, S. (2012) · Science · doi:10.1126/science.1216210 · Cited by 4,331
Second window for in vivo imaging
Smith, A. M., Mancini, M. C., & Nie, S. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.326 · Cited by 2,848
Going deeper than microscopy: the optical imaging frontier in biology
Ntziachristos, V. (2010) · Nature Methods · doi:10.1038/nmeth.1483 · Cited by 1,896
A small-molecule dye for NIR-II imaging
Antaris, A. L., Chen, H., Cheng, K., Sun, Y., Hong, G., Qu, C., Diao, S., Deng, Z., Hu, X., Zhang, B., et al. (2016) · Nature Materials · doi:10.1038/nmat4476 · Cited by 1,778
Liu, H.-Y., Wu, P.-J., Kuo, S.-Y., Chen, C.-P., Chang, E.-H., Wu, C.-Y., & Chan, Y.-H. (2015) · Journal of the American Chemical Society · doi:10.1021/jacs.5b06710 · Cited by 181
Wu, I.-C., Yu, J., Ye, F., Rong, Y., Gallina, M. E., Fujimoto, B. S., Zhang, Y., Chan, Y.-H., Sun, W., Zhou, X.-H., et al. (2015) · Journal of the American Chemical Society · doi:10.1021/ja5123045 · Cited by 148
Cited by
Advanced Fluorescence Imaging Technology in the Near-Infrared-II Window for Biomedical Applications
Li, C., Chen, G., Zhang, Y., Wu, F., & Wang, Q. (2020) · Journal of the American Chemical Society · doi:10.1021/jacs.0c07022 · Cited by 1,037
Second near-infrared photothermal materials for combinational nanotheranostics
Xu, C., & Pu, K. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00664e · Cited by 941
Self-citationOptical nano-agents in the second near-infrared window for biomedical applications
Cai, Y., Wei, Z., Song, C., Tang, C., Han, W., & Dong, X. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00494c · Cited by 603
Jiang, Y., Li, J., Zhen, X., Xie, C., & Pu, K. (2018) · Advanced Materials · doi:10.1002/adma.201705980 · Cited by 601
Self-citationDonor Engineering for NIR-II Molecular Fluorophores with Enhanced Fluorescent Performance
Yang, Q., Hu, Z., Zhu, S., Ma, R., Ma, H., Ma, Z., Wan, H., Zhu, T., Jiang, Z., Liu, W., et al. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.7b10334 · Cited by 554
Metadata
- Authors
- Jiang, Y., Upputuri, P. K., Xie, C., Lyu, Y., Zhang, L., Xiong, Q., Pramanik, M., & Pu, K.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-07-03
- Volume
- 17
- Issue
- 8
- Pages
- 4964-4969
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2727271995
- Cited by
- 395
- References
- 6
- FWCI
- 27.59
- Type
- journal article
- Language
- en
- Open access
- green
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- Jiang, Y., Upputuri, P. K., Xie, C., Lyu, Y., Zhang, L., Xiong, Q., Pramanik, M., & Pu, K. (2017). Broadband Absorbing Semiconducting Polymer Nanoparticles for Photoacoustic Imaging in Second Near-Infrared Window. Nano Letters. https://doi.org/10.1021/acs.nanolett.7b02106
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