Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 266

The DOI matches its Crossref record; 216 of the 216 references it cites were found in a registry or an index.

Fluorescent probes for the detection of disease-associated biomarkers

Open access
Dou, Wei-Tao, Han, Hai-Hao, Sedgwick, Adam C., Zhu, Guo-Biao, Zang, Yi, Yang, Xin-Rong, Yoon, Juyoung, James, Tony D., Li, Jia, He, Xiao-Peng·2022·Science Bulletin

Abstract

Fluorescent probes have emerged as indispensable chemical tools to the field of chemical biology and medicine. The ability to detect intracellular species and monitor physiological processes has not only advanced our knowledge in biology but has provided new approaches towards disease diagnosis. In this review, we detail the design criteria and strategies for some recently reported fluorescent probes that can detect a wide range of biologically important species in cells and in vivo. In doing so, we highlight the importance of each biological species and their role in biological systems and for disease progression. We then discuss the current problems and challenges of existing technologies and provide our perspective on the future directions of the research area. Overall, we hope this review will provide inspiration for researchers and prove as useful guide for the development of the next generation of fluorescent probes.

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 · 10.1016/j.scib.2022.01.014

Cites

216 of 216 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

1 retracted

Show all 216 references

Cited by

See all 266

Metadata

Authors
Dou, W.-T., Han, H.-H., Sedgwick, A. C., Zhu, G.-B., Zang, Y., Yang, X.-R., Yoon, J., James, T. D., Li, J., & He, X.-P.
Venue
Science Bulletin
Publisher
Elsevier BV
Published
2022-04
Volume
67
Issue
8
Pages
853-878
ISSN
2095-9273 (ISSN-L)
OpenAlex
W4206630951
Cited by
266
References
216
FWCI
19.84
Type
journal article
Language
en
Open access
bronze

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: Fluorescent probes for the detection of disease-associated biomarkers. https://app.cochat.ai/papers/10.1016/j.scib.2022.01.014
The paper
Dou, W.-T., Han, H.-H., Sedgwick, A. C., Zhu, G.-B., Zang, Y., Yang, X.-R., Yoon, J., James, T. D., Li, J., & He, X.-P. (2022). Fluorescent probes for the detection of disease-associated biomarkers. Science Bulletin. https://doi.org/10.1016/j.scib.2022.01.014

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.