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Title: Optical quantitative phase microscopy : novel methods and applications
Author: McDermott, Samuel
ISNI:       0000 0004 7966 9849
Awarding Body: University of Sheffield
Current Institution: University of Sheffield
Date of Award: 2019
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Quantitative Phase Imaging (QPI) techniques are a set of microscopy techniques that allow us to observe transparent samples, such as biological cells and optical components, in a way that standard optical microscopes cannot. Although these samples do not absorb light they do cause a significant change to the phase of the incident light. QPI techniques map these optical path length variations across a transparent sample to produce high contrast phase images. Additionally, the quantitative nature of the phase images allows for further information, such as sample thickness and refractive index, to be deduced. The purpose of this thesis is to develop and test novel QPI methods and applications based on a diffractive imaging technique called ptychography. The thesis starts with an overview of key QPI techniques before showing the development and testing of a novel QPI technique called optical near-field ptychography. The phase image produced is shown to be accurate and artefact free, while reducing the quantity of data needed for image acquisition, when compared to existing techniques. It is identified that Spatial Light Modulators (SLMs), digital optical devices that modulate a light wavefront's phase or amplitude across a two-dimensional surface, are increasingly important as components in QPI techniques. To utilise an SLM effectively it is necessary to characterise the modulation response of the device. A novel application of ptychography in characterising an SLM is demonstrated, generating a subpixel resolution of the display over the device's entire active area. Further developments are then explored in the integration of an SLM with ptychography, with the ultimate aim of developing a new QPI technique with no moving parts. The application of this technology is envisioned in high quality quantitative phase videos.
Supervisor: Maiden, Andrew ; Franji, Alejandro Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available