Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 209

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Multifunctional Biomedical Imaging in Physiological and Pathological Conditions Using a NIR‐II Probe

Open access
Shou, Kangquan, Qu, Chunrong, Sun, Yao, Chen, Hao, Chen, Si, Zhang, Lei, Xu, Haibo, Hong, Xuechuan, Yu, Aixi, Cheng, Zhen·2017·Advanced Functional Materials

Abstract

Compared with imaging in the visible (400–650 nm) and near‐infrared window I (NIR‐I, 650–900 nm) regions, imaging in near‐infrared window II (NIR‐II, 1000–1700 nm) is a highly promising in vivo imaging modality with improved resolution and deeper tissue penetration. Here, a small molecule NIR‐II dye,5,5′‐(1H,5H‐benzo[1,2‐c:4,5‐c′] bis[1,2,5]thiadiazole)‐4,8‐diyl)bis(N,N‐bis(4‐(3‐((tert‐butyldimethylsilyl)oxy)propyl)phenyl) thiophen‐2‐amine), is successfully encapsulated into phospholipid vesicles to prepare a probe CQS1000. The novel NIR‐II probe is studied for in vivo multifunctional biological imaging. The results of this study indicate that the NIR‐II vesicle CQS1000 can noninvasively and dynamically visualize and monitor many physiological and pathological conditions of circulatory systems, including lymphatic drainage and routing, angiogenesis of tumor, and vascular deformity such as arterial thrombus formation and ischemia with high spatial and temporal resolution. More importantly, by virtue of the favorable half‐life of blood circulation of CQS1000, NIR‐II imaging is capable of aiding precise resection of tumor such as osteosarcoma and accelerating the process of lymph node dissection to complete sentinel lymph node biopsy for better decision making during the tumor surgery. Overall, CQS1000 is a highly promising NIR‐II probe for multifunctional biomedical imaging in physiological and pathological conditions, surpassing traditional NIR‐I imaging modality and pathologic assessments for clinical diagnosis and treatment.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/adfm.201700995

Cites

7 of 7 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 7 references

Cited by

See all 209

Metadata

Authors
Shou, K., Qu, C., Sun, Y., Chen, H., Chen, S., Zhang, L., Xu, H., Hong, X., Yu, A., & Cheng, Z.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2017-04-24
Volume
27
Issue
23
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2609728077
Cited by
209
References
7
FWCI
18.55
Type
journal article
Language
en
Open access
green

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: Multifunctional Biomedical Imaging in Physiological and Pathological Conditions Using a NIR‐II Probe. https://app.cochat.ai/papers/10.1002/adfm.201700995
The paper
Shou, K., Qu, C., Sun, Y., Chen, H., Chen, S., Zhang, L., Xu, H., Hong, X., Yu, A., & Cheng, Z. (2017). Multifunctional Biomedical Imaging in Physiological and Pathological Conditions Using a NIR‐II Probe. Advanced Functional Materials. https://doi.org/10.1002/adfm.201700995

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.