Extending single-molecule microscopy using optical processing techniques
Abstract/Contents
- Abstract
- In recent years, single-molecule fluorescence microscopy has revolutionized the field of biological imaging. Using single-molecule localization techniques combined with control of the emitting concentration and time-sequential imaging, it is now possible to image structures with resolution an order of magnitude smaller than the classical diffraction limit, thus achieving 'super-resolution'. Such advances have established the fluorescence microscope as a powerful non-invasive imaging technology, and have been recognized with the 2014 Nobel Prize in Chemistry. This thesis aims to further extend the limits of super-resolution and single-molecule microscopy. Fluorescent molecules are versatile probes that provide a wealth of information about their nanoscale environment. However, the majority of super-resolution applications measure only the two-dimensional positions of single molecules during a typical experiment. By constructing multimodal imaging systems that sense additional physical parameters on a molecule-by-molecule basis, additional biological insight may be gleaned. Over the course of my PhD, I have developed a suite of experimental methods and computational algorithms for encoding a molecule's three-dimensional position, its orientation, and its rotational dynamics into the image that its fluorescence forms on a camera sensor. In this thesis, these techniques are combined with super-resolution microscopy, and have been demonstrated to be useful tools for cellular imaging, and for the characterization of stretched DNA strands.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2016 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Backer, Adam S |
|---|---|
| Associated with | Stanford University, Institute for Computational and Mathematical Engineering. |
| Primary advisor | Moerner, W. E. (William Esco), 1953- |
| Thesis advisor | Moerner, W. E. (William Esco), 1953- |
| Thesis advisor | Bryant, Zev David |
| Thesis advisor | Dror, Ron, 1975- |
| Advisor | Bryant, Zev David |
| Advisor | Dror, Ron, 1975- |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Adam S. Backer. |
|---|---|
| Note | Submitted to the Institute for Computational and Mathematical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2016. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2016 by Adam Spilfogel Backer
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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