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.
Library Comment
Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Recommended Citation
Bledsoe, Matthew Joseph, "Application of an Alternating Minimization Algorithm to Experimental DIC Microscopy Data for the Quantitative Determination of Sample Optical Properties" (2014). Electronic Theses and Dissertations. 879.
https://digitalcommons.memphis.edu/etd/879
Comments
Data is provided by the student.