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  5. Aggregation-Induced Emission Luminogens Realizing High-Contrast Bioimaging

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Article
en
2025

Aggregation-Induced Emission Luminogens Realizing High-Contrast Bioimaging

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en
2025
Vol 19 (1)
Vol. 19
DOI: 10.1021/acsnano.4c14887

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Ben Zhong Tang
Ben Zhong Tang

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Wenjin Wang
Zhuo‐Yang Xin
Xuxian Su
+11 more

Abstract

A revolutionary transformation in biomedical imaging is unfolding with the advent of aggregation-induced emission luminogens (AIEgens). These cutting-edge molecules not only overcome the limitations of traditional fluorescent probes but also improve the boundaries of high-contrast imaging. Unlike conventional fluorophores suffering from aggregation-caused quenching, AIEgens exhibit enhanced luminescence when aggregated, enabling superior imaging performance. This review delves into the molecular mechanisms of aggregation-induced emission (AIE), demonstrating how strategic molecular design unlocks exceptional luminescence and superior imaging contrast, which is crucial for distinguishing healthy and diseased tissues. This review also highlights key applications of AIEgens, such as time-resolved imaging, second near-infrared window (NIR-II), and the advancement of AIEgens in sensitivity to physical and biochemical cue-responsive imaging. The development of AIE technology promises to transform healthcare from early disease detection to targeted therapies, potentially reshaping personalized medicine. This paradigm shift in biophotonics offers efficient tools to decode the complexities of biological systems at the molecular level, bringing us closer to a future where the invisible becomes visible and the incurable becomes treatable.

How to cite this publication

Wenjin Wang, Zhuo‐Yang Xin, Xuxian Su, Hao Liang, Zijie Qiu, Shuo Li, Yumei Luo, Xu‐Min Cai, Jianquan Zhang, Parvej Alam, Jing Feng, Shaojuan Wang, Zheng Zhao, Ben Zhong Tang (2025). Aggregation-Induced Emission Luminogens Realizing High-Contrast Bioimaging. , 19(1), DOI: https://doi.org/10.1021/acsnano.4c14887.

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Publication Details

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Article

Year

2025

Authors

14

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acsnano.4c14887

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