Date of Award

12-31-2016

Document Type

Campus Access Thesis

Degree Name

Master of Science (MS)

Department

Physics, Applied

First Advisor

Chandra Yelleswarapu

Second Advisor

Tiffany Donaldson

Third Advisor

Jonathan Celli

Abstract

Image processing is a broad field that encompasses digital, analog, and optical methods to enhance an image to better extract information. Continuing advancements in medical imaging and imaging for biomedical applications forces image processing to grow vertically to meet the demands of new modalities and horizontally to allow for widespread interdisciplinary use. This thesis consists of three main parts: an introduction to image formation and common modalities, followed by a walk-through of Fourier phase contrast microscopy (FPCM)—an optical image processing technique developed at UMass Boston, and lastly a presentation of a custom graphic user interface (GUI) that incorporates multiple well-known digital image processing techniques. We demonstrate the quantitative capability FPCM to extrapolate 3D information from 2D images and promote interdisciplinary research collaborations by sharing the GUI. Further advancements in quantitative Fourier phase contrast microscopy could allow the simple, novel, low-cost tool to become more widespread and additional updates to the GUI could promote more diverse collaborative works.

Comments

Free and open access to this Campus Access Thesis is made available to the UMass Boston community by ScholarWorks at UMass Boston. Those not on campus and those without a UMass Boston campus username and password may gain access to this thesis through resources like Proquest Dissertations & Theses Global or through Interlibrary Loan. If you have a UMass Boston campus username and password and would like to download this work from off-campus, click on the "Off-Campus UMass Boston Users" link above.

Download
Off-Campus UMass Boston Users

Share

COinS