Electronic Theses and Dissertations

Identifier

1040

Date

2014

Document Type

Thesis

Degree Name

Master of Science

Major

Electrical and Computer Engr

Concentration

Computer Engineering

Committee Chair

Chrysanthe Preza

Committee Member

Aaron Robinson

Committee Member

Eddie Jacobs

Abstract

Differential Interference Contrast (DIC) is commonly chosen for imaging unstained transparent samples. One limitation of DIC microscopy is the qualitative results it provides. This must be post-processed to extract meaningful information. The Alternating Minimizatio (AM) algorithm studied in this thesis is an iterative approach to recover a quantitative estimate of a sample's complex-valued transmittance function. The AM algorithm is validated using simulated data. Additionally, the bias retardation and shear distance, two characteristic features of the DIC system, must be measured to insure the system model is accurate. This is accomplished by introducing a calibrated liquid crystal device to the system. Algorithm performance is verified using an experimental test object before finally being applied to biological samples. Overall results demonstrate the accuracy of this algorithm's object estimation results. These are verified through comparison to similar data processing techniques.

Comments

Data is provided by the student.

Library Comment

Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.

Download

Share

COinS