中文版 | English
Title

Near-Infrared II Semiconducting Polymer Dots: Chain Packing Modulation and High-Contrast Vascular Imaging in Deep Tissues

Author
Corresponding AuthorXi,Lei; Wu,Changfeng
Publication Years
2023
DOI
Source Title
ISSN
1936-0851
EISSN
1936-086X
Volume17Issue:17
Abstract
Fluorescence imaging in the second near-infrared (NIR-II) window has attracted considerable interest in investigations of vascular structure and angiogenesis, providing valuable information for the precise diagnosis of early stage diseases. However, it remains challenging to image small blood vessels in deep tissues because of the strong photon scattering and low fluorescence brightness of the fluorophores. Here, we describe our combined efforts in both fluorescent probe design and image algorithm development for high-contrast vascular imaging in deep turbid tissues such as mouse and rat brains with intact skull. First, we use a polymer blending strategy to modulate the chain packing behavior of the large, rigid, NIR-II semiconducting polymers to produce compact and bright polymer dots (Pdots), a prerequisite for in vivo fluorescence imaging of small blood vessels. We further developed a robust Hessian matrix method to enhance the image contrast of vascular structures, particularly the small and weakly fluorescent vessels. The enhanced vascular images obtained in whole-body mouse imaging exhibit more than an order of magnitude improvement in the signal-to-background ratio (SBR) as compared to the original images. Taking advantage of the bright Pdots and Hessian matrix method, we finally performed through-skull NIR-II fluorescence imaging and obtained a high-contrast cerebral vasculature in both mouse and rat models bearing brain tumors. This study in Pdot probe development and imaging algorithm enhancement provides a promising approach for NIR-II fluorescence vascular imaging of deep turbid tissues.
Keywords
URL[Source Record]
Indexed By
Language
English
Important Publications
NI Journal Papers
SUSTech Authorship
First ; Corresponding
Funding Project
National Key Ramp;D Program of China[2020YFA0909000] ; National Natural Science Foundation of China["62235007","22204070"] ; Shenzhen Science and Technology Program["KQTD20170810111314625","JCYJ20210324115807021","SGDX20211123114002003"] ; Shenzhen Bay Laboratory[SZBL2021080601002] ; Guangdong Provincial Key Laboratory of Advanced Biomaterials[2022B1212010003] ; Natural Science Foundation of Shandong Province[ZR2022QF048]
WOS Research Area
Chemistry ; Science & Technology - Other Topics ; Materials Science
WOS Subject
Chemistry, Multidisciplinary ; Chemistry, Physical ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary
WOS Accession No
WOS:001050158100001
Publisher
Scopus EID
2-s2.0-85169026389
Data Source
Scopus
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/560102
DepartmentDepartment of Biomedical Engineering
Affiliation
1.Guangdong Provincial Key Laboratory of Advanced Biomaterials,Department of Biomedical Engineering,Southern University of Science and Technology,Shenzhen,Guangdong,518055,China
2.College of Chemistry and Chemical Engineering,Qingdao University,Qingdao,Shandong,266071,China
3.Shenzhen Bay Laboratory,Shenzhen,Guangdong,518132,China
First Author AffilicationDepartment of Biomedical Engineering
Corresponding Author AffilicationDepartment of Biomedical Engineering
First Author's First AffilicationDepartment of Biomedical Engineering
Recommended Citation
GB/T 7714
Chen,Dandan,Qi,Weizhi,Liu,Ye,et al. Near-Infrared II Semiconducting Polymer Dots: Chain Packing Modulation and High-Contrast Vascular Imaging in Deep Tissues[J]. ACS Nano,2023,17(17).
APA
Chen,Dandan.,Qi,Weizhi.,Liu,Ye.,Yang,Yicheng.,Shi,Tianyue.,...&Wu,Changfeng.(2023).Near-Infrared II Semiconducting Polymer Dots: Chain Packing Modulation and High-Contrast Vascular Imaging in Deep Tissues.ACS Nano,17(17).
MLA
Chen,Dandan,et al."Near-Infrared II Semiconducting Polymer Dots: Chain Packing Modulation and High-Contrast Vascular Imaging in Deep Tissues".ACS Nano 17.17(2023).
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