General Post‐Regulation Strategy of AIEgens’ Photophysical Properties for Intravital Two‐Photon Fluorescence Imaging

Author:

Lin Liyun1,Liu Jiaxin2,Pan Zhengyuan1,Pang Wen1,Jiang Xinyan1,Lei Man1,Gao Jucai3,Xiao Yujie4,Li Bo4,Hu Fang3,Bao Zhouzhou5,Wei Xunbin67,Wu Wenbo2,Gu Bobo1ORCID

Affiliation:

1. School of Biomedical Engineering Shanghai Jiao Tong University Shanghai 200030 China

2. Department of Chemistry Institute of Molecular Aggregation Science Tianjin University Tianjin 300072 China

3. Biomaterials Research Center School of Biomedical Engineering Southern Medical University Guangzhou 510515 China

4. Department of Neurology Huashan Hospital MOE Frontiers Center for Brain Science State Key Laboratory of Medical Neurobiology Institutes for Translational Brain Research Fudan University Shanghai 200437 China

5. Shanghai Key Laboratory of Gynecologic Oncology Ren Ji Hospital School of Medicine Shanghai Jiao Tong University Shanghai 200127 China

6. Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing) Peking University Cancer Hospital & Institute Beijing 100142 China

7. Biomedical Engineering Department and International Cancer Institute Peking University Beijing 100191 China

Abstract

AbstractFluorogens with aggregation‐induced emission (AIEgens) are promising agents for two‐photon fluorescence (TPF) imaging. However, AIEgens’ photophysical properties are fixed and unoptimizable once synthesized. Therefore, it is urgent and meaningful to explore an efficient post‐regulation strategy to optimize AIEgens’ photophysical properties. Herein, a general and efficient post‐regulation strategy is reported. By simply tuning the ratio of inert AIEgens within binary nanoparticles (BNPs), the fluorescence quantum yield and two‐photon absorption cross‐section of functional AIEgens are enhanced by 8.7 and 5.4 times respectively, which are not achievable by conventional strategies, and the notorious phototoxicity is almost eliminated. The experimental results, theoretical simulation, and mechanism analysis demonstrated its feasibility and generality. The BNPs enabled deep cerebrovascular network imaging with ≈1.10 mm depth and metastatic cancer cell detection with single‐cell resolution. Furthermore, the TPF imaging quality is improved by the self‐supervised denoising algorithm. The proposed binary molecular post‐regulation strategy opened a new avenue to efficiently boost the AIEgens’ photophysical properties and consequently TPF imaging quality.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Shanghai Rising-Star Program

Natural Science Foundation of Shanghai Municipality

Shanghai Jiao Tong University

Publisher

Wiley

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