Novel tools for optical coherence imaging : gold nanoparticle contrast agents and high-resolution pathology registration by optical barcoding

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Abstract/Contents

Abstract
Biomedical imaging is a vital part of preventative, diagnostic, and therapeutic medical treatment, but there are surprisingly few viable clinical tools at the microscale (1 to 100 microns; from a single to dozens of cells). Optical Coherence Tomography (OCT) is a high speed and portable 3D imaging technology poised to fill this gap. This work develops on two directions that expand the capabilities of OCT imaging and set up the groundwork for new clinical applications. The first is an investigation of gold nanoparticles as contrast agents in the second near-infrared imaging window. We demonstrate that injected gold nanoprisms are highly scattering contrast agents with tune-able scattering resonances which can be used to greatly enhance the sensitivity of OCT-based vascular imaging. Postinjection OCT angiograms reveal 41% and 59% more vasculature compared to control subjects in healthy and melanoma-bearing mouse skin respectively. We then demonstrate a spectral de-mixing model for gold nanoparticles, that allows us to resolve the proportions of up to 3 different gold nanobipyramids within each voxel. With this, we demonstrate the first instance of triplex OCT contrast agent imaging, used to visualize in vivo regional dynamics within a mouse lymphatic network. The second part of this work explores a new data-centric approach to interpreting optical medical images, a task that remains challenging for clinical professionals in spite of high imaging resolution. We have developed a laser-based barcoding technology that allows us to achieve ultra-high resolution registration (down to 25 microns) of OCT images with H&E pathology images. This technology has allowed us to assemble a library of hundreds of OCT-H&E images pairs from human skin samples obtained during Mohs surgery in a dermatology clinic. We then train a generative neural network on the image library and demonstrate the ability to virtually generate realistic H&E images directly from OCT images. This opens the door to an entirely virtual and non-invasive biopsy based on OCT imaging, bypassing the traditionally labor- and time- intensive biopsy procedure

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 2020; ©2020
Publication date 2020; 2020
Issuance monographic
Language English

Creators/Contributors

Author Yuan, Edwin
Degree supervisor Doniach, S
Degree supervisor De la Zerda, Adam
Thesis advisor Doniach, S
Thesis advisor De la Zerda, Adam
Thesis advisor Xing, Lei
Degree committee member Xing, Lei
Associated with Stanford University, Department of Applied Physics

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Edwin C. Yuan
Note Submitted to the Department of Applied Physics
Thesis Thesis Ph.D. Stanford University 2020
Location electronic resource

Access conditions

Copyright
© 2020 by Edwin Yuan
License
This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).

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