Title:
Quantitative Phase Imaging: Instrumentation, Validation, and Annular Illumination

dc.contributor.advisor Gaylord, Thomas K.
dc.contributor.author Kulkarni, Pranav Prasad
dc.contributor.committeeMember Ralph, Stephen E
dc.contributor.committeeMember Cai, Wenshan
dc.contributor.committeeMember Tibuleac, Sorin
dc.contributor.committeeMember Bao, Yijun
dc.contributor.department Electrical and Computer Engineering
dc.date.accessioned 2022-01-14T16:09:41Z
dc.date.available 2022-01-14T16:09:41Z
dc.date.created 2021-12
dc.date.issued 2021-12-03
dc.date.submitted December 2021
dc.date.updated 2022-01-14T16:09:42Z
dc.description.abstract The imaging of transparent objects like biological cells and optical fibers is difficult using conventional optical microscopy. Quantitative Phase Imaging (QPI) provides a label-free, quantitative, and reliable way of imaging transparent objects. Conventionally, disk illumination has been widely used as a standard illumination type in microscopy. However, annular illumination provides a way to enhance contrast and improve resolution. In this work, the phase recovery performance of the two illumination types was compared using 2D QPI experiments performed on a standard-type phase test chart using weighted-least squares multifilter phase imaging with partially coherent light (WLS-MFPI-PC). A state-of-the-art QPI system with 2D QPI and 3D QPI capabilities was developed for performing the experiments and is described in detail. The reconstructed phase images were compared to an ideal image using spatial frequency response. Furthermore, the comparison results were found to match the theoretical predictions from MFPI-PC showing the significant advantage of annular illumination in higher spatial frequencies. Thus, the model used to describe the optics of QPI for the two illumination types was validated. A summary of the paraxial, non-paraxial, and WLS-MFPI-PC theories is also provided for the readers.
dc.description.degree M.S.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/66108
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Quantitative Phase Imaging, annular illumination, QPI, MFPI-PC, phase imaging
dc.title Quantitative Phase Imaging: Instrumentation, Validation, and Annular Illumination
dc.type Text
dc.type.genre Thesis
dspace.entity.type Publication
local.contributor.advisor Gaylord, Thomas K.
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 517427a4-7861-4be9-93e0-6f49e3fa31ea
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Masters
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