Citation
Horstmeyer, Roarke William (2016) Computational Microscopy: Turning Megapixels into Gigapixels. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z95Q4T1W. https://resolver.caltech.edu/CaltechTHESIS:10202015-173005082
Abstract
The layout of a typical optical microscope has remained effectively unchanged over the past century. Besides the widespread adoption of digital focal plane arrays, relatively few innovations have helped improve standard imaging with bright-field microscopes. This thesis presents a new microscope imaging method, termed Fourier ptychography, which uses an LED to provide variable sample illumination and post-processing algorithms to recover useful sample information. Examples include increasing the resolution of megapixel-scale images to one gigapixel, measuring quantitative phase, achieving oil-immersion quality resolution without an immersion medium, and recovering complex three dimensional sample structure.
| Item Type: | Thesis (Dissertation (Ph.D.)) | ||||||
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| Subject Keywords: | Computational imaging, biophotonics, microscopy, optics | ||||||
| Degree Grantor: | California Institute of Technology | ||||||
| Division: | Engineering and Applied Science | ||||||
| Major Option: | Electrical Engineering | ||||||
| Awards: | Everhart Distinguished Graduate Student Lecturer Award, 2015. Charles and Ellen Wilts Prize, 2016. | ||||||
| Thesis Availability: | Public (worldwide access) | ||||||
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| Defense Date: | 15 October 2015 | ||||||
| Non-Caltech Author Email: | roarke.horstmeyer (AT) gmail.com | ||||||
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| Record Number: | CaltechTHESIS:10202015-173005082 | ||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechTHESIS:10202015-173005082 | ||||||
| DOI: | 10.7907/Z95Q4T1W | ||||||
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| Default Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
| ID Code: | 9231 | ||||||
| Collection: | CaltechTHESIS | ||||||
| Deposited By: | Roarke Horstmeyer | ||||||
| Deposited On: | 12 Nov 2015 22:11 | ||||||
| Last Modified: | 08 Nov 2023 18:41 |
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