2021
DOI: 10.1016/j.biomaterials.2021.120717
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NIR-II bioimaging of small organic molecule

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Cited by 158 publications
(120 citation statements)
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“…
range (NIR-I region: 700-900 nm; NIR-II region: 1000-1700 nm). [15][16][17][18][19][20] Deep tissue penetration can be realized in this spectral range owing to the low degree level of photon absorption, scattering, and autofluorescence from tissues. [21,22] Therefore, imaging and therapeutic agents which operate in the DR to NIR region are highly desired.
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mentioning
confidence: 99%
“…
range (NIR-I region: 700-900 nm; NIR-II region: 1000-1700 nm). [15][16][17][18][19][20] Deep tissue penetration can be realized in this spectral range owing to the low degree level of photon absorption, scattering, and autofluorescence from tissues. [21,22] Therefore, imaging and therapeutic agents which operate in the DR to NIR region are highly desired.
…”
mentioning
confidence: 99%
“…The ROS HO• can synergize the chemotherapy by a cascade of bioreactions ( Figure 9 ). In addition, PDT is a promising clinical cancer treatment strategy, and it is also a common means of increasing ROS content and enhancing ROS-induced anticancer strategy [ 88 , 89 , 90 , 91 , 92 ]. PDT converts O 2 into ROS by light-activated PSs, while CDT generates cytotoxic •OH by an in situ Fenton or Fenton-like reaction between H 2 O 2 and catalysts [ 93 , 94 ].…”
Section: Activated Cascade Reactions To Enhance Ros-induced Cancer Therapymentioning
confidence: 99%
“…Biomedical imaging in NIR-II window can fully improve the temporal and spatial resolution of imaging (about 50 ms and about 25 µm) and penetration depth (up to 10 mm), obtain better image quality and signal-to-background ratio than NIR-I ( He et al, 2018 ). NIR-II fluorescence imaging has been widely used in tumor imaging, liver imaging, small blood vessel imaging, lymph node imaging, and non-invasive dynamic cerebrovascular imaging over the past years ( Hong et al, 2014 ; Zhao et al, 2019 ; Su et al, 2021 ). NIR-II imaging can discriminate tumor lesions more effectively than NIR-I imaging and can visualize lesions that are missed in NIR-I imaging ( Zhang et al, 2021 ).…”
Section: Nir Imaging and Nir/crispr-cas9-based Imaging Systemsmentioning
confidence: 99%