The development of miniature Raman-based clinical imaging devices to detect targeted SERS nanoparticles
Abstract/Contents
- Abstract
- Better screening strategies for early cancer detection and the identification of tumor boundaries during surgical resection are essential to improve patient care. The current standard relies on white-light visualization of tissue and the use of non-specific dyes to highlight the vasculature. As a result, lesions are often missed and the identification of the tumor boundaries during removal can be difficult, often resulting in the need for multiple random biopsies at the perimeter of the suspect tissue. Success in the detection and resection of malignant tissue is dependent on skilled and experienced surgeons and endoscopists. Sophisticated optical technologies that show biomarker-specific contrast are nearing clinical translation, and rapid detection of targeted surface enhanced Raman scattering (SERS) nanoparticles is a promising approach for sensitive detection of cancer. The advantages of SERS nanoparticles include multiplexing capabilities, high sensitivity, and consistent and stable signal over time. This thesis describes the development of miniature, highly sensitive fiber-optic-based Raman imaging devices that are capable of imaging a panel of SERS nanoparticles, which are being functionalized to target a multitude of cancer-specific biomarkers. The overreaching objective is to provide real-time diagnostic information during screening procedures by adding molecular specificity that complements white-light imaging. Here, I present two clinically translatable devices that I developed −a point-detection device and a circumferential scanning device− which were designed to be used in humans for detection of targeted SERS particles. The accomplishments of this work include the first clinically translatable Raman-based imaging device capable of simultaneously detecting mixtures of up to 10 distinct SERS nanoparticles. The non-contact nature of these designs enables them to scan large areas in short periods of time. The system is highly sensitive, rapid, and can be used in real-time. The techniques presented here open up new opportunities to significantly improve the detection and diagnosis of small and otherwise hard to detect lesions in a variety of clinical settings.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2014 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Garai, Ellis |
|---|---|
| Associated with | Stanford University, Department of Mechanical Engineering. |
| Primary advisor | Andriacchi, Th. P. (Thomas P.) |
| Primary advisor | Contag, Christopher H |
| Thesis advisor | Andriacchi, Th. P. (Thomas P.) |
| Thesis advisor | Contag, Christopher H |
| Thesis advisor | Solgaard, Olav |
| Advisor | Solgaard, Olav |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Ellis Garai. |
|---|---|
| Note | Submitted to the Department of Mechanical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2014. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2014 by Ellis Garai
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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