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1.
Theoretical methods for blur-correction in electron and soft x-ray microscopy
by Klukowska, Joanna, Ph.D.  City University of New York. 2013: 170 pages; 3601710.
2.
Differential Methods for Phase Imaging in Optical Lithography
by Shanker, Aamod, Ph.D.  University of California, Berkeley. 2018: 156 pages; 10821879.
3.
Advances in Deterministic Femtosecond Laser Writing of Vision Correction Devices in Ophthalmic Hydrogels
by Gandara-Montano, Gustavo A., Ph.D.  University of Rochester. 2019: 379 pages; 13856499.
4.
Phase Retrieval for Chromatic Aberrations and Wide-Field Detectors
by Bergkoetter, Matthew D., Ph.D.  University of Rochester. 2018: 179 pages; 10683413.
5.
Mapping Topological Magnetization and Magnetic Skyrmions
by Chess, Jordan J., Ph.D.  University of Oregon. 2017: 114 pages; 10684160.
6.
Robust Image-Based Wavefront Sensing
by Zielinski, Thomas P., Ph.D.  University of Rochester. 2011: 193 pages; 3478385.
7.
Quantitative Microscopy Using Coded Illumination
by Phillips, Zachary Fitzgerald, Ph.D.  University of California, Berkeley. 2019: 139 pages; 13885487.
8.
Adaptive Image Acquisition with Consideration of Camera Optics
by Ma, Tao, Ph.D.  Auburn University. 2012: 144 pages; 3520453.
10.
Gabor domain optical coherence microscopy
by Murali, Supraja, Ph.D.  University of Central Florida. 2009: 151 pages; 3410143.
12.
Separating layers in images and its applications
by Yu, Li, Ph.D.  National University of Singapore (Singapore). 2015: 126 pages; 10006044.
13.
Mathematical studies on the human eye
by Nam, Jayoung, Ph.D.  Indiana University. 2007: 101 pages; 3274988.
14.
Stress-engineered optical elements
by Spilman, Alexis Katherine Koenig, Ph.D.  University of Rochester. 2008: 171 pages; 3300620.
15.
Phase transfer function of digital imaging systems
by Bhakta, Vikrant R., Ph.D.  Southern Methodist University. 2011: 143 pages; 3489711.
16.
Conquering image imperfectness by priors with applications to image recovery
by Dai, Shengyang, Ph.D.  Northwestern University. 2009: 142 pages; 3386960.
17.
Flexible imaging for capturing depth and controlling field of view and depth of field
by Kuthirummal, Sujit, Ph.D.  Columbia University. 2009: 155 pages; 3348435.
18.
Retinal profile and structural differences between myopes and emmetropes
by Clark, Christopher Anderson, Ph.D.  Indiana University. 2013: 170 pages; 3616989.
19.
Efficient sensing, summarization and classification of videos
by Shroff, Nitesh, Ph.D.  University of Maryland, College Park. 2012: 240 pages; 3543609.
20.
Crystallographic perturbations to valence charge density and hydrogen-surface interactions
by Ciston, James W., Ph.D.  Northwestern University. 2009: 279 pages; 3352626.
21.
Robust Estimator for Cryo-EM Class Means in the Presence of Outliers
by Huang, Chenxi, Ph.D.  Yale University. 2015: 133 pages; 10012500.
22.
Discrete gradient method in solid mechanics
by Qian, Jing, Ph.D.  The University of Iowa. 2009: 146 pages; 3356269.
23.
Image Super-Resolution using sharpened gradient profile prior
by Li, Ting, M.S.  Southern Methodist University. 2012: 79 pages; 1515308.
24.
Instantaneous detection of spatial gradient errors in differential GNSS
by Jing, Jing, Ph.D.  Illinois Institute of Technology. 2014: 149 pages; 3662625.
25.
Nonequilibrium thermodynamics of temperature gradient metamorphism in snow
by Staron, Patrick Joseph, Ph.D.  Montana State University. 2013: 209 pages; 3560693.
26.
Study of inward particle flux in a multi-instability plasma system
by Cui, Lang, Ph.D.  University of California, San Diego. 2015: 176 pages; 3718429.
27.
Photosynthesis and Growth of Invasive Shrubs Across a Light Gradient
by Schack, Brandon, M.S.  Southern Illinois University at Edwardsville. 2018: 57 pages; 13420314.
28.
Planar magneto-photonic and gradient photonic structures: Crystals and metamaterials
by Wu, Zhuoyuan, Ph.D.  Michigan Technological University. 2010: 209 pages; 3439141.
29.
An optimization-based method for high order gradient calculation on unstructured meshes
by Busatto, Alcides Dallanora, Ph.D.  Mississippi State University. 2012: 150 pages; 3522192.
30.
Finding Critical and Gradient-Flat Points of Deep Neural Network Loss Functions
by Frye, Charles Gearhart, Ph.D.  University of California, Berkeley. 2020: 90 pages; 27957645.
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