Date of Award
Master of Science
Electrical and Computer Engr
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.
dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
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.