Efficient platform for 3D and full optical field imaging
Abstract/Contents
- Abstract
- Optical imaging plays an important role as the perceptual eyes of machines. In contrast to conventional two-dimensional intensity imaging, such as photography, probing the additional dimensions within the optical field is challenging. The demand for fast, data-efficient, and accurate imaging systems and signal-processing pipelines is raising great interest in both academia and industry. This dissertation introduces our contributions toward enhancing the robustness and efficiency of 3D and full optical field imaging systems. Firstly, we discuss time-of-flight-based 3D imaging. We introduce novel scanning trajectory designs and control systems for resonant Micro-electro-mechanical (MEMS) optical scanners operating at >100Hz frame rate. We also introduce post-processing algorithms that harness sensor fusion and temporal fusion to reconstruct clean and high-resolution 3D structures from noisy, low-resolution raw data, thus enhancing the quality and utility of 3D imaging in broad applications. Secondly, we introduce our research in photonics integrated circuit (PIC)-based full optical field imaging. Here, we propose the design of optical phase sensor arrays and the corresponding post-processing algorithm. These components enable the precise measurement of the optical phase within a single measurement step without external references or spatial light modulators. By measuring relative phases across both neighboring and distant spatial locations, we achieve scalability and robustness against hardware errors and noise. We also design PIC for high-contrast optical mode decomposition and filtering. By leveraging redundant elements at both the device and architecture levels, we successfully extract weak optical signals that would otherwise be overwhelmed by background light intensities exceeding 100000 times stronger. These systems provide significant benefits for applications including bio-imaging, remote sensing, and astro-imaging.
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 | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Sun, Zhanghao |
|---|---|
| Degree supervisor | Solgaard, Olav |
| Thesis advisor | Solgaard, Olav |
| Thesis advisor | Miller, D. A. B |
| Thesis advisor | Wetzstein, Gordon |
| Degree committee member | Miller, D. A. B |
| Degree committee member | Wetzstein, Gordon |
| Associated with | Stanford University, School of Engineering |
| Associated with | Stanford University, Department of Electrical Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Zhanghao Sun. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/tk069vt4118 |
Access conditions
- Copyright
- © 2023 by Zhanghao Sun
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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