The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Imaging of Colorectal Cancers Using Activatable Nanoprobes with Second Near‐Infrared Window Emission
Abstract
Fluorescent probes in the second near‐infrared window (NIR‐II) allow high‐resolution bioimaging with deep‐tissue penetration. However, existing NIR‐II materials often have poor signal‐to‐background ratios because of the lack of target specificity. Herein, an activatable NIR‐II nanoprobe for visualizing colorectal cancers was devised. This designed probe displays H 2 S‐activated ratiometric fluorescence and light‐up NIR‐II emission at 900–1300 nm. By using this activatable and target specific probe for deep‐tissue imaging of H 2 S‐rich colon cancer cells, accurate identification of colorectal tumors in animal models were performed. It is anticipated that the development of activatable NIR‐II probes will find widespread applications in biological and clinical systems.
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
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
A route to brightly fluorescent carbon nanotubes for near-infrared imaging in mice
Welsher, K., Liu, Z., Sherlock, S. P., Robinson, J. T., Chen, Z., Daranciang, D., & Dai, H. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.294 · Cited by 1,287
Specific light-up bioprobes based on AIEgen conjugates
Liang, J., Tang, B. Z., & Liu, B. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00444b · Cited by 762
A high quantum yield molecule-protein complex fluorophore for near-infrared II imaging
Antaris, A. L., Chen, H., Diao, S., Ma, Z., Zhang, Z., Zhu, S., Wang, J., Lozano, A. X., Fan, Q., Chew, L., et al. (2017) · Nature Communications · doi:10.1038/ncomms15269 · Cited by 623
Hong, G., Zou, Y., Antaris, A. L., Diao, S., Wu, D., Cheng, K., Zhang, X., Chen, C., Liu, B., He, Y., et al. (2014) · Nature Communications · doi:10.1038/ncomms5206 · Cited by 563
Traumatic Brain Injury Imaging in the Second Near‐Infrared Window with a Molecular Fluorophore
Zhang, X., Wang, H., Antaris, A. L., Li, L., Diao, S., Ma, R., Nguyen, A., Hong, G., Ma, Z., Wang, J., et al. (2016) · Advanced Materials · doi:10.1002/adma.201600706 · Cited by 386
Shao, W., Chen, G., Kuzmin, A., Kutscher, H. L., Pliss, A., Ohulchanskyy, T. Y., & Prasad, P. N. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b08973 · Cited by 386
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
Optical 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
J -Aggregates of Cyanine Dye for NIR-II in Vivo Dynamic Vascular Imaging beyond 1500 nm
Sun, C., Li, B., Zhao, M., Wang, S., Lei, Z., Lu, L., Zhang, H., Feng, L., Dou, C., Yin, D., et al. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.9b10043 · Cited by 582
Recent advances in near-infrared II fluorophores for multifunctional biomedical imaging
Ding, F., Zhan, Y., Lu, X., & Sun, Y. (2018) · Chemical Science · doi:10.1039/c8sc01153b · Cited by 538
Miao, Q., & Pu, K. (2018) · Advanced Materials · doi:10.1002/adma.201801778 · Cited by 537
Metadata
- Authors
- Xu, G., Yan, Q., Lv, X., Zhu, Y., Xin, K., Shi, B., Wang, R., Chen, J., Gao, W., Shi, P., Fan, C., Zhao, C., & Tian, H.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2018-02-28
- Volume
- 57
- Issue
- 14
- Pages
- 3626-3630
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2791509295
- Cited by
- 314
- References
- 7
- FWCI
- 17.08
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Imaging of Colorectal Cancers Using Activatable Nanoprobes with Second Near‐Infrared Window Emission. https://app.cochat.ai/papers/10.1002/anie.201712528
- The paper
- Xu, G., Yan, Q., Lv, X., Zhu, Y., Xin, K., Shi, B., Wang, R., Chen, J., Gao, W., Shi, P., Fan, C., Zhao, C., & Tian, H. (2018). Imaging of Colorectal Cancers Using Activatable Nanoprobes with Second Near‐Infrared Window Emission. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201712528
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.
