Quantum dots boost large-view NIR-Ⅱ imaging with high fidelity for fluorescence-guided tumor surgery

Biao Huang Tao Tang Fushou Liu Shi-Hui Chen Zhi-Ling Zhang Mingxi Zhang Ran Cui

Citation:  Biao Huang, Tao Tang, Fushou Liu, Shi-Hui Chen, Zhi-Ling Zhang, Mingxi Zhang, Ran Cui. Quantum dots boost large-view NIR-Ⅱ imaging with high fidelity for fluorescence-guided tumor surgery[J]. Chinese Chemical Letters, 2024, 35(12): 109694. doi: 10.1016/j.cclet.2024.109694 shu

Quantum dots boost large-view NIR-Ⅱ imaging with high fidelity for fluorescence-guided tumor surgery

English

  • Fluorescence imaging has emerged as a valuable intraoperative imaging technique that bridges the gap between preoperative imaging and the actual surgical procedure. It offers several advantages, including high resolution, high sensitivity, and the absence of ionizing radiation [16]. However, the presence of biological tissues significantly hampers photon penetration and leads to autofluorescence interference, which can greatly impact the effectiveness of fluorescence-guided surgery (FGS) [79]. Imaging in the second near-infrared region (NIR-Ⅱ, 1000-1700 nm) can significantly reduce the interference of photon scattering and autofluorescence to provide deep tissue penetration and high-contrast imaging in vivo [1012]. In recent years, a series of NIR-Ⅱ probes, such as quantum dots (QDs) [1316], organic small molecular dyes, polymer dots, and rare earth nanomaterials, have been developed to localize specific regions within the body and guide the subsequent surgery in a real-time manner [1723].

    Attributed to the unique optical properties such as wide absorption ranges, multiple emissions by unitary excitation for multi-color labeling, and high photostability allowing for long-duration imaging, QDs have shown great potential in FGS [2426]. However, the inherent limitations of some NIR-Ⅱ QDs, such as low absorption and unsatisfactory quantum yield in the NIR-Ⅱ region, have already become the bottleneck to obtain higher contrast and spatiotemporal resolution imaging in vivo, greatly hindering their further applications in the FGS [2729]. Notably, QDs usually possess higher absorption in the visible region (400–700 nm) than that in NIR window [30,31]. Therefore, visible lights can theoretically excite the stronger fluorescence of QDs to provide better imaging performance than NIR light sources.

    In contrast to a typical laser beam with a Gaussian point spread function (PSF) and non-uniform light distribution, a light-emitting diode (LED) integrates multiple point light sources, which can provide a wide imaging field without signal distortion [32]. In this work, the white LED was used as the excitation for the FGS of tumors. Because of the higher absorption of QDs in the visible region, the LED light significantly improved the fluorescence intensity (1.5–2.5 times) and increased the penetration depth (~1 mm) compared to the 808 nm laser at the same optical power density. Due to the fluorescence enhancement of QDs under LED excitation, the signal-to-background ratio (SBR) and resolution of in vivo imaging were significantly improved. Some faint signals such as micro-vessels and micro tumor lesions can be clearly visualized to provide more detailed information for surgical operations with LED excitation. Since the LED light could irradiate a large region with consistent light intensity, signal distortion at the edge of the imaging field was avoided, which further improved the accuracy during the FGS. Overall, this work provided new perspectives for improving the in vivo imaging performance, providing a new direction for the development of new image-guided surgery.

    Currently, the NIR lasers have been used as excitation sources for fluorescence surgical navigation systems, but the relatively low absorption of QDs in the NIR region greatly affects the in vivo imaging performance and immensely hinders their applications in FGS [3336]. In this work, we focused on optimizing the excitation source which is another key of imaging processes. The white LED light was chosen as the excitation to promote the imaging performance of NIR-Ⅱ QDs for imaging-guided tumor surgery (Fig. 1a).

    Figure 1

    Figure 1.  (a) Illustration of LED light as the excitation source for NIR-Ⅱb imaging-guided tumor resection surgery. (b) Illustration of NIR-Ⅱa and NIR-Ⅱb PbS/CdS QDs. (c) The fluorescence emission spectra of NIR-Ⅱa QDs (blue curve) and NIR-Ⅱb QDs (red curve). (d) The absorption spectra of NIR-Ⅱa QDs (blue curve), NIR-Ⅱb QDs (red curve), and emission spectrum of LED (green curve). (e) Fluorescence intensity analysis of NIR-Ⅱa probes excited by LED or laser at different exposure times. (f) Fluorescence intensity analysis of NIR-Ⅱb probes excited by LED or laser at different exposure times. (g) Fluorescence images of capillaries filled with NIR-Ⅱb probes and NIR-Ⅱa probes covered by 1% intralipid with varying depths under the excitation of LED or laser. The yellow and red triangle is the region of interest (ROI) of the capillary and the white circle is the ROI of the background. (h) Signal-to-background ratio of NIR-Ⅱb imaging covered by varying depth 1% intralipid with the excitation of LED or laser. (i) The FWHM of Gauss fitted intensity data of NIR-Ⅱa imaging of capillaries covered by varying depth 1% intralipid with the excitation of LED or laser. n = 3 independent samples (e, f, h, i).

    To systematically compare the imaging performance of QDs under LED or NIR laser (808 nm) excitation, the commercial visible (white LED) and NIR (808 nm laser) light sources were used to study the influence of excitation wavelength on the imaging performance of two kinds of PbS/CdS QDs. These two kinds of QDs, emitting in ~1050 nm (in NIR-Ⅱa region) and ~1600 nm (in NIR-Ⅱb region) respectively (Figs. 1b and c), were synthesized according to our previous work (see Supporting information for details) [25]. To compare the fluorescence intensity of QDs excited by LED or laser, the NIR-Ⅱb, and NIR-Ⅱa PbS/CdS QDs were imaged under a NIR-Ⅱ imaging system. As shown in Figs. 1e and f, the LED group showed stronger fluorescence signals compared to the laser group. According to the fluorescence intensity analysis of the images, the LED excitation evidently increased the fluorescence intensity of NIR-Ⅱa (~1.5 times) and NIR-Ⅱb QDs (~2.5 times) (Figs. 1e and f). The enhancement of the imaging performance may be caused by higher absorption of QDs in the visible region. The absorption of two kinds of PbS/CdS QDs in the visible region (400-700 nm) were both significantly higher than that in the NIR region (Fig. 1d). The emission wavelength of LED light mainly located in the visible region with two peaks intensity at ~445 nm and ~545 nm, which resulted in the enhancement of imaging performance of QDs.

    The penetration depth and the SBR were also investigated to compare the imaging performance of QDs under LED or laser through phantom experiments [3739]. The penetration depths of NIR-Ⅱa (from 7 mm to 8 mm) and NIR-Ⅱb (from 9 mm to 10 mm) QDs under LED excitation both increased by ~1 mm compared to the laser group (Fig. 1g). In addition, by analyzing the signal intensity of the capillary loading with QDs and the background, the LED group showed a higher imaging SBR than the laser group (Fig. 1h and Fig. S1 in Supporting information). In the NIR-Ⅱb imaging window, the SBR of imaging at a depth of 1 mm in the intralipid solution reached 640.2 under LED excitation, which was about 3.3 times that of the laser group (SBR = 195.4) (Fig. S2a in Supporting information). When the depth increased to 7 mm, the SBR of imaging with LED excitation was 4.6, still approximately 70% higher than the SBR achieved under laser excitation (SBR = 2.6) (Fig. S2b in Supporting information).

    To compare the imaging resolution between LED and laser excitation, the full width at half maximum (FWHM) was calculated according to the cross-sectional intensity profiles of the capillary. In the NIR-Ⅱa window, when the imaging depth in intralipid was 2 mm, the LED group (273.9 µm) presented a similar FWHM as the laser group (274.5 µm) (Fig. S3a in Supporting information). However, as the imaging depth increased, the FWHM of the laser group increased dramatically (Fig. 1i). When the depth reached 6 mm, the FWHM of the LED group was 341.7 µm (Fig. S3b in Supporting information), which was 16.7% lower than that of the laser group (415.7 µm). Similarly, in the NIR-Ⅱb window, the LED excitation also displayed lower FWHM (Fig. S4 in Supporting information), indicating that LED excitation could achieve higher resolution in deep penetration imaging. Since NIR-Ⅱ QDs have higher absorption in the visible light region than in the NIR-Ⅱ region, the visible light excitation can significantly improve the fluorescence intensity and penetration depth of NIR-Ⅱ QDs, providing higher SBR and imaging resolution. Thus, LED has the potential as an ideal excitation source to improve imaging resolution and contrast for the QDs in the application in FGS.

    In general, the normal laser beam obeys the Gaussian point spread function (GSF). Therefore, the intensity is expected to decrease gradually from the irradiation center to the surrounding areas, which may inevitably cause signal distortion at the border of the imaging field, especially during deep tissue and wide-field imaging in vivo [4042]. As the schematic illustration shown in Fig. 2a, the intensity distribution of a capillary filled with NIR-Ⅱb QDs solutions in NIR-Ⅱ imaging with LED and the NIR laser were analyzed respectively. The intensity distribution along the capillary displayed a uniform pattern under LED excitation (Fig. 2b). In contrast, due to the inhomogeneous illumination of NIR lasers, the fluorescence intensity decreased by approximately 30% at the position 10 mm away from the laser radiation center (Fig. 2c). The above results confirmed that LED light source could provide a broader field of view with consistent light intensity for imaging than laser source.

    Figure 2

    Figure 2.  (a) Schematic illustration of signal uniformity ex vivo for homogeneous illumination of LED and inhomogeneous illumination of the laser. (b) Fluorescence images of capillaries filled with NIR-Ⅱb probes under LED (top) and laser (bottom) excitation. The imaging region is according to the dashed line in panel (a). Scale bar: 1 mm. (c) Intensity profiles along the capillary in panel (b) with NIR-Ⅱb imaging under LED and laser excitation. (d) Schematic illustration of signal uniformity in vivo under LED and laser excitation. (e) Fluorescence images of the mouse hind limb in the NIR-Ⅱb window under LED (top) and laser (bottom) excitation. Scale bar: 5 mm. (f) Intensity profiles along the vessels of mouse hind limb in (d).

    Subsequently, in vivo imaging for hindlimb vessels was performed to verify the signal distortion under different excitation sources (Fig. 2d). When the laser is used as the imaging light source, the blood vessels in the mouse's legs show a strong signal in the center and a weak signal at the borders, with an intensity differential of up to 80% (Figs. 2e and f), which indicated that signal distortion occurred under laser radiation during in vivo imaging. In contrast, employing LED as an excitation source of QDs on the same mouse provided an expended image with uniform intensity (Figs. 2e and f), which may be a superior alternative for more precise guidance for FGS.

    Iatrogenic injury of important structures is common in cancer surgery, so providing more information about tissue structures can help surgeons improve the accuracy and quality of operations [4345]. To avoid damage to normal tissue and severe intraoperative bleeding, the identification and localization of vessels are essential during cancer surgery. In the whole-body image of the left side of the mouse shown in Fig. 3a, more signals from vessels were detected because of the higher fluorescence intensity of the probes with LED excitation. The statistics of vessels in the right limb of the mice showed that the average number of vessels detected by imaging with LED excitation was ~175 (Fig. 3b), almost twice that of the laser group (Fig. 3c). The size distribution of 100 vessels also showed that 66% of the vessels detected under LED excitation were in size range of 0-200 µm, and 25% were smaller than 150 µm (Fig. 3d). In contrast, 84% of detected vessels were over the size of 200 µm with laser excitation. The above results indicated that some faint signals from tiny vessels could be enhanced by the increased fluorescence intensity with LED excitation, which may help to detect tiny vessels to provide more detailed information for surgical guidance.

    Figure 3

    Figure 3.  (a) NIR-Ⅱb images of healthy mice in left lateral position under the excitation of LED or laser. The dashed frame circled the region of interest. Scale bar: 10 mm. (b) NIR-Ⅱb high-resolution images of healthy mice in right lateral position with high magnification (3× objective) under the excitation of LED or laser. Scale bar: 5 mm. (c) Average total vessels detected by NIR-Ⅱb imaging with LED or laser excitation from (b). Statistical significance was calculated via a double-sample t-test. n = 3. ** P < 0.05. (d) Distribution of vessel sizes detected by high-resolution NIR-Ⅱb imaging with LED or laser excitation investigated from (b). NIR-Ⅱb images (e) and high-resolution images (f) of 4T1 tumor-bearing mice in right lateral position under the excitation of LED or laser. The dashed frame in (e) circled the location of tumors. Scale bar: 10 mm (e), 5 mm (f). (g) Intensity profiles and SBR of tumor vessels along the white line in (e). (h) Representative cross-sectional fluorescence intensity profiles of high magnification images along dashed lines of tumor micro-vessels by NIR-Ⅱb imaging with LED or laser excitation. (i) Image of 4T1 tumor-bearing mouse. The black arrow points to the location of the tiny tumor (dtumor = 1.2 mm). (j) NIR-Ⅱb imaging for tiny tumors of mice with LED or laser excitation. Scale bar: 2 mm. n = 3 independent samples (c, d).

    The advantages of LED as a light source in imaging tumors, especially tiny tumors, were further investigated. The formation of tumor vessels is closely related to the development of cancer and requires special attention during surgeries [46,47]. Tumor angiography is one of the most important methods for imaging tumors. As shown in Figs. 3e and f, tumor vasculature networks can be observed with high clarity under LED excitation, and visualization of tumor-related vessels has higher imaging SBR (Fig. 3g). In addition, the cross-sectional intensity profiles of the tumors were analyzed to distinguish micro-vessels. As shown in Fig. 3h, LED excitation can detect more tumor micro-vessel signals with higher imaging resolution of the same 4T1 tumor-bearing mouse than laser excitation. In particular, the clinical imaging detection threshold for tumors is about 5–7 mm in diameter and the detection of tiny tumors (diameter < 2 mm), such as early or blood-borne metastasis tumors, remains a challenge owing to the sensitivity and specificity of current methods [48,49]. Here, the tiny tumor model (with a diameter less than 2 mm) was created to test sensitivity under LED excitation on the 3rd day after tumor cell implantation (Fig. 3i). When labeled with NIR-Ⅱb PbS/CdS-RGD probes, the tumor (~1.2 mm in diameter) showed obvious signal enhancement under LED excitation, whereas no obvious tumor signal was observed under laser excitation (Fig. 3j). The above results indicated that LED excitation could significantly improve the in vivo imaging performance of NIR-Ⅱ QDs, making it an ideal excitation source to provide more valuable information for tumor FGS.

    Currently, QDs emitting in the range of NIR-Ⅱa account for the majority of NIR-Ⅱ QDs, but the much lower imaging SBR and resolution compared with NIR-Ⅱb QDs severely limit the guidance accuracy of NIR-Ⅱa QDs in surgeries [5052]. Meanwhile, there are still a few NIR-Ⅱb QDs with sufficient brightness and stability to be used for FGS. Fortunately, LED excitation can significantly enhance the SBR and improve imaging resolution. Therefore, it was also promising to promote the in vivo imaging performance of NIR-Ⅱ QDs.

    To convincingly compare the imaging performance between NIR-Ⅱa and NIR-Ⅱb QDs with different excitation sources, the NIR-Ⅱa and NIR-Ⅱb probes were mixed in equal parts and then injected into the tail vein of the same mice to perform in vivo imaging. Attributed to the enhanced fluorescence signals from QDs under LED excitation, the imaging quality between the two windows was significantly promoted, more vessels could be visualized with higher clarity (Fig. 4a). According to the statistics of vessels detected under different imaging conditions, the number of detected vessels in the NIR-Ⅱa imaging window with LED excitation was about 3 times that of laser excitation, and reached almost the same level as that in the NIR-Ⅱb imaging under laser excitation (Fig. 4b). In addition, LED excitation markedly improved the SBR of in NIR-Ⅱa and NIR-Ⅱb imaging window by 18% and 11%, respectively (Figs. 4c and d). Moreover, the FWHM of the tested vessel in the NIR-Ⅱa imaging window under LED excitation was significantly decreased, which was close to NIR-Ⅱb imaging quality under laser excitation (Fig. 4e). Therefore, LED excitation could evidently improve the imaging performance of NIR-Ⅱa QDs comparable to that of NIR-Ⅱb QDs under laser excitation, which allowed a wider choice of NIR-Ⅱ probes for the application in tumor FGS.

    Figure 4

    Figure 4.  (a) NIR-Ⅱa and NIR-Ⅱb imaging images of mice in the upright position under LED and laser excitation. NIR-Ⅱa channel: 980 LP plus 1200 SP filters. NIR-Ⅱb channel: 980 LP plus 1500 LP filters. Scale bar: 10 mm. (b) Average total vessels detected by NIR-Ⅱa and NIR-Ⅱb imaging with LED or laser excitation. Representative cross-sectional fluorescence intensity profiles of images along white dashed lines of vessels in panel (a) by NIR-Ⅱb (c) and NIR-Ⅱa (d) imaging. (e) The FWHM of Gauss fitted intensity data of NIR-Ⅱa and NIR-Ⅱb imaging of mouse vessels. Statistical significance was calculated via a double-sample t-test. n = 3. *** P < 0.001. n = 3 independent samples (b, e).

    The potential application of PbS/CdS QDs under LED excitation in imaging-guided tumor resection was investigated using 4T1 tumor-bearing mouse models. Providing sufficient light intensity is conducive to smooth operations [53]. As shown in Fig. S5 (Supporting information), the NIR-Ⅱ imaging system was equipped with LED light, which provided sufficient bright conditions for various surgical procedures without an additional light source. Before imaging-guided surgery, the NIR-Ⅱb PbS/CdS QDs were modified with arginine-glycine-aspartate (RGD) peptide to construct the tumor-targeted nanoprobes (PbS/CdS-RGD) according to our previous work [47,54]. For long-time imaging during FGS, the photostability of probes was tested under LED irradiation. After continuous irradiation with LED for 2 h, the fluorescence intensity did not seriously decrease (Figs. S6 and S7 in Supporting information), indicating that the LED did not significantly affect the photostability of NIR-Ⅱb and NIR-Ⅱa probes and helped to avoid signal distortion caused by fluorescence attenuation during operations.

    To determine the optimal imaging time window for FGS, tumor-bearing mice were imaged at different time points. As shown in Figs. 5a and b, the signal of the tumor gradually increased with time, indicating the good tumor-targeting ability of PbS/CdS-RGD probes. In addition, the imaging SBR of tumors under LED excitation was significantly higher than that of laser (Fig. 5c), peaking at 8 h after injection. Therefore, the ideal imaging window for surgery was set within 4–8 h after injection. As shown in Movie S1 (Supporting information), NIR-Ⅱb imaging with LED excitation outlined the margin of the tumor. Combined with visual inspection, the resection surgery of the tumor was successfully completed. After surgery, there were no obvious fluorescent signals at the tumor site (Fig. 5d), indicating that the primary tumor was successfully removed.

    Figure 5

    Figure 5.  (a) NIR-Ⅱb imaging for tumor-bearing mice at different time points. Scale bar: 10 mm. (b) NIR-Ⅱb imaging for tumor-bearing mice at 8 h post-injection of PbS/CdS-RGD probes. Scale bar: 1 mm. (c) SBR of NIR-Ⅱb imaging for tumor versus time. (d) NIR-Ⅱb imaging of mice pre-and post-surgery. Scale bar: 10 mm. n = 3 independent samples (c).

    In summary, we developed an optimized large-view NIR-Ⅱ imaging system equipped with LED excitation as the excitation source of QD-based probes and realized precise fluorescence-guided surgery of tumors. The home-built LED-excited NIR-Ⅱ imaging system increased the contrast (NIR-Ⅱa ~1.5 times and NIR-Ⅱb ~2.5 times) and penetration depth, which significantly improved the imaging quality in the NIR-Ⅱ window. Consistent irradiation of LED light considerably expanded the effective imaging area by avoiding the signal distortion with a ~5-fold increase at the edge of the imaging view. Additionally, the number of micro-vessels detected in the NIR-Ⅱa window under LED excitation in vivo was nearly equal to that found in the NIR-Ⅱb window under laser excitation. Moreover, tiny tumors (~1.2 mm in diameter) can be detected, providing a consistent wide field of view with more precise guidance for tumor resection surgery. Our results open up new avenues for large-view NIR-Ⅱ imaging while avoiding signal distortion, enabling a wider choice of NIR-Ⅱ probes for application in tumor FGS.

    Ethical approval of this study was obtained from the Animal Ethics Committee of the School and Hospital of Stomatology, Wuhan University (approval number: S07920070E). All animal experimental procedures were performed following the Regulations for the Administration of Affairs Concerning Experimental Animals approved by the State Council of the People's Republic of China.

    The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

    This work was supported by the National Natural Science Foundation of China grant (Nos. 22174105 and 21974104), and the National Key R & D Program of China (No. 2020YFA0908800). We thank the Large-scale Instrument and Equipment Sharing Foundation of Wuhan University.

    Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.cclet.2024.109694.


    1. [1]

      Z. Hu, C. Fang, B. Li, et al., Nat. Biomed. Eng. 4 (2020) 259–271.

    2. [2]

      J.S.D. Mieog, F.B. Achterberg, A. Zlitni, et al., Nat. Rev. Clin. Oncol. 19 (2022) 9–22. doi: 10.1038/s41571-021-00548-3

    3. [3]

      F. Wang, L. Qu, F. Ren, et al., Proc. Natl. Acad. Sci. U. S. A. 119 (2022) e2123111119. doi: 10.1073/pnas.2123111119

    4. [4]

      S. Hernot, L. Manen, P. Debie, et al., Lancet Oncol. 20 (2019) 354–367. doi: 10.1016/S1470-2045(19)30317-1

    5. [5]

      Y.Y. Duo, L. Zhao, Z.G. Wang, et al., J. Anal. Test. 7 (2023) 245–259. doi: 10.1007/s41664-023-00254-2

    6. [6]

      Y. Yang, D. Liu, Z. He, et al., Adv. Healthcare Mater. 12 (2023) 2300434. doi: 10.1002/adhm.202300434

    7. [7]

      C. Li, Y. Pang, Y. Xu, et al., Chem. Soc. Rev. 52 (2023) 4392–4442. doi: 10.1039/d3cs00227f

    8. [8]

      S. He, J. Song, J. Qu, et al., Chem. Soc. Rev. 47 (2018) 4258–4278. doi: 10.1039/c8cs00234g

    9. [9]

      X. Song, R. Wang, J. Gao, et al., Chin. Chem. Lett. 33 (2022) 1567–1571. doi: 10.1016/j.cclet.2021.08.111

    10. [10]

      Y. Chen, P. Pei, Z. Lei, et al., Angew. Chem. Int. Ed. 60 (2021) 15809–15815. doi: 10.1002/anie.202103071

    11. [11]

      H. Zhang, C. Sun, L. Sun, et al., Angew. Chem. Int. Ed. 61 (2022) e202203851. doi: 10.1002/anie.202203851

    12. [12]

      J. Zheng, S.H. Chen, B. Huang, et al., Chin. Chem. Lett. 35 (2024) 108460. doi: 10.1016/j.cclet.2023.108460

    13. [13]

      R. Tian, H. Ma, S. Zhu, et al., Adv. Mater. 32 (2020) 1907365. doi: 10.1002/adma.201907365

    14. [14]

      P. Wang, J. Li, M. Wei, et al., Biomaterials 287 (2022) 121636. doi: 10.1016/j.biomaterials.2022.121636

    15. [15]

      H.L. Xu, J.J. Yang, D.L. Zhuge, et al., Adv. Healthcare Mater. 7 (2018) 1701130. doi: 10.1002/adhm.201701130

    16. [16]

      S. Qu, Q. Jia, Z. Li, et al., Sci. Bull. 67 (2022) 1274–1283. doi: 10.1016/j.scib.2022.05.001

    17. [17]

      C. Sun, X. Sun, P. Pei, et al., Adv. Funct. Mater. 31 (2021) 2100656. doi: 10.1002/adfm.202100656

    18. [18]

      H. Zhou, S. Li, X. Zeng, et al., Chin. Chem. Lett. 31 (2020) 1382–1386. doi: 10.1016/j.cclet.2020.04.030

    19. [19]

      X. Zhou, Q. Liu, W. Yuan, et al., Adv. Sci. 8 (2021) 2000441. doi: 10.1002/advs.202000441

    20. [20]

      P. Wang, Y. Fan, L. Lu, et al., Nat. Commun. 9 (2018) 2898. doi: 10.1038/s41467-018-05113-8

    21. [21]

      D. Li, S. He, Y. Wu, et al., Adv. Sci. 6 (2019) 1902042. doi: 10.1002/advs.201902042

    22. [22]

      J. Jin, L. Yang, F. Chen, et al., Interdiscip. Mater. 1 (2022) 471–494. doi: 10.1002/idm2.12050

    23. [23]

      D. Liu, Z. He, Y. Zhao, et al., J. Am. Chem. Soc. 143 (2021) 17136–17143. doi: 10.1021/jacs.1c07711

    24. [24]

      Q. Wen, Y. Zhang, C. Li, et al., Angew. Chem. Int. Ed. 58 (2019) 11001–11006. doi: 10.1002/anie.201905643

    25. [25]

      G.T. Yu, M.Y. Luo, H. Li, et al., ACS Nano 13 (2019) 12830–12839. doi: 10.1021/acsnano.9b05038

    26. [26]

      Z. Feng, T. Tang, T. Wu, et al., Light: Sci. Appl. 10 (2021) 197. doi: 10.1038/s41377-021-00628-0

    27. [27]

      W. Zhang, T. Chen, L. Su, et al., Anal. Chem. 92 (2020) 6094–6102. doi: 10.1021/acs.analchem.0c00529

    28. [28]

      H. Yang, R. Li, Y. Zhang, et al., J. Am. Chem. Soc. 143 (2021) 2601–2607. doi: 10.1021/jacs.0c13071

    29. [29]

      Z.Y. Liu, A.A. Liu, H. Fu, et al., J. Am. Chem. Soc. 143 (2021) 12867–12877. doi: 10.1021/jacs.1c06661

    30. [30]

      J. Zhang, A. Bifulco, P. Amato, et al., J. Colloid Interf. Sci. 638 (2023) 193–219. doi: 10.1016/j.jcis.2023.01.107

    31. [31]

      C. Mahajan, A. Sharma, A.K. Rath, ACS Appl. Mater. Interfaces 12 (2020) 49840–49848. doi: 10.1021/acsami.0c15703

    32. [32]

      L. Lu, B. Li, S. Ding, et al., Nat. Commun. 11 (2020) 4192. doi: 10.1038/s41467-020-18051-1

    33. [33]

      J. Liu, H. Rijckaert, M. Zeng, et al., Adv. Funct. Mater. 28 (2018) 1707365. doi: 10.1002/adfm.201707365

    34. [34]

      Q. Liu, J. Tian, Y. Tian, et al., Acta Biomater 127 (2021) 287–297. doi: 10.1016/j.actbio.2021.03.064

    35. [35]

      S. Fan, S. Wang, C. Yang, et al., Adv. Optical Mater. 23 (2023) 2202945. doi: 10.1002/adom.202202945

    36. [36]

      N. Liu, X. Chen, X. Sun, et al., J. Nanobiotechnol 19 (2021) 113. doi: 10.1186/s12951-021-00862-z

    37. [37]

      A. Satpathy, W.T. Huang, M.H. Chan, et al., Adv. Optical Mater. 11 (2023) 2300321. doi: 10.1002/adom.202300321

    38. [38]

      Z. Feng, Y. Li, S. Chen, et al., Nat. Commun. 14 (2023) 5017. doi: 10.1038/s41467-023-40728-6

    39. [39]

      B. Li, M. Zhao, J. Lin, et al., Chem. Soc. Rev. 51 (2022) 7692–7714. doi: 10.1039/d2cs00131d

    40. [40]

      Y. Liu, Z. Zhou, F. Wang, et al., Nat. Commun. 12 (2021) 2019. doi: 10.1038/s41467-021-22283-0

    41. [41]

      C. Chen, B. Liu, Y. Liu, et al., Adv. Mater. 33 (2021) 2008847. doi: 10.1002/adma.202008847

    42. [42]

      S. Jia, J.C. Vaughan, X. Zhuang, Nat. Photonics 8 (2014) 302–306. doi: 10.1038/nphoton.2014.13

    43. [43]

      M. Wei, J. Bai, X. Shen, et al., ACS Nano 17 (2023) 11345–11361. doi: 10.1021/acsnano.3c00350

    44. [44]

      T. Pu, Y. Liu, Y. Pei, et al., ACS Appl. Mater. Interfaces 15 (2023) 32226–32239. doi: 10.1021/acsami.3c04949

    45. [45]

      Y. Wang, J. Nan, H. Ma, et al., Nano Lett. 23 (2023) 4039–4048. doi: 10.1021/acs.nanolett.3c00829

    46. [46]

      M. Wenes, M. Shang, M. Di Matteo, et al., Cell Metab. 24 (2016) 701–715. doi: 10.1016/j.cmet.2016.09.008

    47. [47]

      T. Tang, B. Huang, F. Liu, et al., Nanoscale 14 (2022) 7473–7479. doi: 10.1039/d2nr01175a

    48. [48]

      N. Pashayan, P.D.P. Pharoah, Science 368 (2022) 589–590.

    49. [49]

      J. Huang, X. Chen, Y. Jiang, et al., Nat. Mater. 21 (2022) 598–607. doi: 10.1038/s41563-022-01224-2

    50. [50]

      Y. Zhou, B. Huang, S.H. Chen, et al., Nano Res. 16 (2023) 2719–2727. doi: 10.1007/s12274-022-4875-6

    51. [51]

      A.M. Saeboe, A.Y. Nikiforov, R. Toufanian, et al., Nano Lett. 21 (2021) 3271–3279. doi: 10.1021/acs.nanolett.1c00600

    52. [52]

      Q. Ding, J. Zhao, H. Zhang, et al., Angew. Chem. Int. Ed. 61 (2022) e202210370. doi: 10.1002/anie.202210370

    53. [53]

      J.X. Sun, J.Z. Xu, Y. An, et al., J. Control. Release 353 (2023) 832–841. doi: 10.1016/j.jconrel.2022.12.013

    54. [54]

      B. Huang, J. Hu, H. Li, et al., ACS Appl. Bio Mater. 3 (2020) 1636–1645. doi: 10.1021/acsabm.9b01202

  • Figure 1  (a) Illustration of LED light as the excitation source for NIR-Ⅱb imaging-guided tumor resection surgery. (b) Illustration of NIR-Ⅱa and NIR-Ⅱb PbS/CdS QDs. (c) The fluorescence emission spectra of NIR-Ⅱa QDs (blue curve) and NIR-Ⅱb QDs (red curve). (d) The absorption spectra of NIR-Ⅱa QDs (blue curve), NIR-Ⅱb QDs (red curve), and emission spectrum of LED (green curve). (e) Fluorescence intensity analysis of NIR-Ⅱa probes excited by LED or laser at different exposure times. (f) Fluorescence intensity analysis of NIR-Ⅱb probes excited by LED or laser at different exposure times. (g) Fluorescence images of capillaries filled with NIR-Ⅱb probes and NIR-Ⅱa probes covered by 1% intralipid with varying depths under the excitation of LED or laser. The yellow and red triangle is the region of interest (ROI) of the capillary and the white circle is the ROI of the background. (h) Signal-to-background ratio of NIR-Ⅱb imaging covered by varying depth 1% intralipid with the excitation of LED or laser. (i) The FWHM of Gauss fitted intensity data of NIR-Ⅱa imaging of capillaries covered by varying depth 1% intralipid with the excitation of LED or laser. n = 3 independent samples (e, f, h, i).

    Figure 2  (a) Schematic illustration of signal uniformity ex vivo for homogeneous illumination of LED and inhomogeneous illumination of the laser. (b) Fluorescence images of capillaries filled with NIR-Ⅱb probes under LED (top) and laser (bottom) excitation. The imaging region is according to the dashed line in panel (a). Scale bar: 1 mm. (c) Intensity profiles along the capillary in panel (b) with NIR-Ⅱb imaging under LED and laser excitation. (d) Schematic illustration of signal uniformity in vivo under LED and laser excitation. (e) Fluorescence images of the mouse hind limb in the NIR-Ⅱb window under LED (top) and laser (bottom) excitation. Scale bar: 5 mm. (f) Intensity profiles along the vessels of mouse hind limb in (d).

    Figure 3  (a) NIR-Ⅱb images of healthy mice in left lateral position under the excitation of LED or laser. The dashed frame circled the region of interest. Scale bar: 10 mm. (b) NIR-Ⅱb high-resolution images of healthy mice in right lateral position with high magnification (3× objective) under the excitation of LED or laser. Scale bar: 5 mm. (c) Average total vessels detected by NIR-Ⅱb imaging with LED or laser excitation from (b). Statistical significance was calculated via a double-sample t-test. n = 3. ** P < 0.05. (d) Distribution of vessel sizes detected by high-resolution NIR-Ⅱb imaging with LED or laser excitation investigated from (b). NIR-Ⅱb images (e) and high-resolution images (f) of 4T1 tumor-bearing mice in right lateral position under the excitation of LED or laser. The dashed frame in (e) circled the location of tumors. Scale bar: 10 mm (e), 5 mm (f). (g) Intensity profiles and SBR of tumor vessels along the white line in (e). (h) Representative cross-sectional fluorescence intensity profiles of high magnification images along dashed lines of tumor micro-vessels by NIR-Ⅱb imaging with LED or laser excitation. (i) Image of 4T1 tumor-bearing mouse. The black arrow points to the location of the tiny tumor (dtumor = 1.2 mm). (j) NIR-Ⅱb imaging for tiny tumors of mice with LED or laser excitation. Scale bar: 2 mm. n = 3 independent samples (c, d).

    Figure 4  (a) NIR-Ⅱa and NIR-Ⅱb imaging images of mice in the upright position under LED and laser excitation. NIR-Ⅱa channel: 980 LP plus 1200 SP filters. NIR-Ⅱb channel: 980 LP plus 1500 LP filters. Scale bar: 10 mm. (b) Average total vessels detected by NIR-Ⅱa and NIR-Ⅱb imaging with LED or laser excitation. Representative cross-sectional fluorescence intensity profiles of images along white dashed lines of vessels in panel (a) by NIR-Ⅱb (c) and NIR-Ⅱa (d) imaging. (e) The FWHM of Gauss fitted intensity data of NIR-Ⅱa and NIR-Ⅱb imaging of mouse vessels. Statistical significance was calculated via a double-sample t-test. n = 3. *** P < 0.001. n = 3 independent samples (b, e).

    Figure 5  (a) NIR-Ⅱb imaging for tumor-bearing mice at different time points. Scale bar: 10 mm. (b) NIR-Ⅱb imaging for tumor-bearing mice at 8 h post-injection of PbS/CdS-RGD probes. Scale bar: 1 mm. (c) SBR of NIR-Ⅱb imaging for tumor versus time. (d) NIR-Ⅱb imaging of mice pre-and post-surgery. Scale bar: 10 mm. n = 3 independent samples (c).

  • 加载中
计量
  • PDF下载量:  0
  • 文章访问数:  47
  • HTML全文浏览量:  1
文章相关
  • 发布日期:  2024-12-15
  • 收稿日期:  2023-11-20
  • 接受日期:  2024-02-27
  • 修回日期:  2024-02-15
  • 网络出版日期:  2024-03-06
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

/

返回文章