Biocompatible materials for fluorescence imaging in the second near-infrared window
Abstract/Contents
- Abstract
- Fluorescence imaging in the second near-infrared window (1,000-1,700 nm, NIR-II window) benefits from reduced tissue scattering, absorption and autofluorescence compared to imaging in shorter wavelength windows, allowing deep tissue imaging with high spatial resolution. In particular, imaging in the long wavelength end of the NIR-II window (1,500-1,700 nm, NIR-IIb window) minimizes scattering and completely eliminates autofluorescence, affording tissue penetration up to sub-centimeter level. However, most NIR-II/NIR-IIb fluorophores rely on nanoparticles with long retention in the body, which limits their potential for clinical translation. This work aims to develop biocompatible nanomaterials for fluorescence imaging and cancer therapy in the NIR-II window. Firstly, a biocompatible theranostic nanoparticle was prepared based on polymeric micelles encapsulating an organic NIR-II dye FE and an anti-cancer drug paclitaxel. The theranostic agent demonstrated high tumor uptake in vivo as well as good therapeutic efficacy. Secondly, a hydrophilic cross-linked surface coating strategy (denote P3 coating) was devised, allowing rapid excretion of a wide range of nanomaterials, including erbium-based rare-earth nanoparticles (ErNPs), lead sulfide quantum dots (QDs), superparamagnetic iron oxide nanoparticles and carbon nanotubes. Two-plex NIR-IIb in vivo molecular imaging of PD-L1 and CD8 with P3-coated ErNPs and QDs revealed infiltration of cytotoxic T lymphocytes in the tumor microenvironment after immune checkpoint blockade therapy. Lastly, a deep learning-based approach was applied to transform fluorescence images in the shorter wavelength near-infrared window (900-1,300 nm) to images which resembled the ground-truth NIR-IIb images. With deep learning image translation, in vivo imaging with FDA-approved fluorophores such as indocyanine green (ICG) achieved an unprecedented signal-to-background ratio, which facilitated cancer imaging and imaging-guided tumor resection surgery.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2021; ©2021 |
| Publication date | 2021; 2021 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Ma, Zhuoran |
|---|---|
| Degree supervisor | Dai, Hongjie, 1966- |
| Thesis advisor | Dai, Hongjie, 1966- |
| Thesis advisor | Boxer, Steven G. (Steven George), 1947- |
| Thesis advisor | Cui, Bianxiao |
| Degree committee member | Boxer, Steven G. (Steven George), 1947- |
| Degree committee member | Cui, Bianxiao |
| Associated with | Stanford University, Department of Chemistry |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Zhuoran Ma. |
|---|---|
| Note | Submitted to the Department of Chemistry. |
| Thesis | Thesis Ph.D. Stanford University 2021. |
| Location | https://purl.stanford.edu/gc174pz1571 |
Access conditions
- Copyright
- © 2021 by Zhuoran Ma
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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