Mi Chao, Guan Ming, Zhang Xun, Yang Liu, Wu Sitong, Yang Zhichao, Guo Zhiyong, Liao Jiayan, Zhou Jiajia, Lin Fulin, Ma En, Jin Dayong, Yuan Xiaocong
Nanophotonics Research Center, Shenzhen Key Laboratory of Micro-Scale Optical Information Technology & Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, Guangdong 518055, China.
UTS-SUStech Joint Research Centre for Biomedical Materials and Devices, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.
Nano Lett. 2022 Apr 13;22(7):2793-2800. doi: 10.1021/acs.nanolett.1c04909. Epub 2022 Mar 24.
Conventional biomedical imaging modalities, including endoscopy, X-rays, and magnetic resonance, are invasive and insufficient in spatial and temporal resolutions for gastrointestinal (GI) tract imaging to guide prognosis and therapy. Here we report a noninvasive method based on lanthanide-doped nanocrystals with ∼1530 nm fluorescence in the near-infrared-IIb window (NIR-IIb, 1500-1700 nm). The rational design of nanocrystals have led to an absolute quantum yield (QY) up to 48.6%. Further benefiting from the minimized scattering through the NIR-IIb window, we enhanced the spatial resolution to ∼1 mm in GI tract imaging, which is ∼3 times higher compared with the near-infrared-IIa (NIR-IIa, 1000-1500 nm) method. The approach also realized a high temporal resolution of 8 frames per second; thus the moment of mice intestinal peristalsis can be captured. Furthermore, with a light-sheet imaging system, we demonstrated a three-dimensional (3D) imaging on the GI tract. Moreover, we successfully translated these advances to diagnose inflammatory bowel disease.
传统的生物医学成像方式,包括内窥镜检查、X射线和磁共振成像,对于胃肠道(GI)成像以指导预后和治疗而言具有侵入性,且在空间和时间分辨率方面存在不足。在此,我们报告一种基于镧系掺杂纳米晶体的非侵入性方法,该纳米晶体在近红外IIb窗口(NIR-IIb,1500 - 1700纳米)具有约1530纳米的荧光。纳米晶体的合理设计使其绝对量子产率(QY)高达48.6%。进一步受益于通过NIR-IIb窗口的最小化散射,我们在胃肠道成像中将空间分辨率提高到约1毫米,与近红外IIa(NIR-IIa,1000 - 1500纳米)方法相比提高了约3倍。该方法还实现了每秒8帧的高时间分辨率;因此可以捕捉到小鼠肠道蠕动的瞬间。此外,通过光片成像系统,我们展示了胃肠道的三维(3D)成像。而且,我们成功地将这些进展转化用于诊断炎症性肠病。
Nano Lett. 2022-4-13
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