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oai:www.ideals.illinois.edu:2142/101127 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Boppart, Stephen A. Boppart, Stephen A. Carney, P. Scott Eden, J. Gary Gao, Liang South, Fredrick A. 2018-09-04T20:33:53Z 2018-09-04T20:33:53Z 2020-09-05T09:15:32Z 2018-03-21 2018-05 In this thesis, multiple longstanding challenges in optical imaging are solved by the development of new computational imaging methods, where computational imaging does not simply refer to simulation or modeling, but to the entirety of an imaging technology in which significant computation is required to achieve the final image. Of the many optical imaging technologies currently in use, optical coherence tomography (OCT) is distinctive in that it provides coherent measurement of optical scattering within bulk biological tissue. Unfortunately, the optical wavefront is often distorted by defocus and aberration, from either the imaging system or the sample itself, leading to poor image quality. Through a careful consideration of the optical theory and imaging hardware, computational imaging methods can correct these distortions through creative data acquisition and processing schemes. Here, new computational OCT methods are developed from theory to implementation to address three related challenges in optical imaging. First, computational OCT is extended to polarization-sensitive imaging. This provides the improved resolution and imaging depth of computational OCT with the enhanced contrast of polarization-sensitive imaging. Second, computational OCT is combined with hardware-based wavefront correction. This addresses the low signal-to-noise ratio (SNR) limitation of computational OCT and provides improved performance beyond that of hardware-only correction. Lastly, distortion of the optical wavefront is computationally measured directly from the OCT data. This enables both measurement and correction of the optical wavefront throughout biological samples without additional hardware. Together, these results demonstrate the usefulness of computational OCT across a broad range of important imaging scenarios in biology and medicine. Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2020-05-01 The student, Fredrick South, accepted the attached license on 2018-03-19 at 20:58. The student, Fredrick South, submitted this Dissertation for approval on 2018-03-19 at 21:11. This Dissertation was approved for publication on 2018-03-21 at 15:00. DSpace SAF Submission Ingestion Package generated from Vireo submission #12076 on 2018-08-31 at 17:17:26 Made available in DSpace on 2018-09-04T20:33:53Z (GMT). No. of bitstreams: 2 SOUTH-DISSERTATION-2018.pdf: 4445720 bytes, checksum: 2295f4d68ce3c530c467bbd68ba8fbde (MD5) LICENSE.txt: 4211 bytes, checksum: bf8bd276bcea7cf704c8778d2c06450a (MD5) Previous issue date: 2018-03-21 Embargo set by: Seth Robbins for item 107210 Lift date: 2020-09-04T20:34:13Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system Embargo set by: Seth Robbins for item 107210 Lift date: 2020-09-04T20:37:00Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system Embargo set by: Seth Robbins for item 107210 Lift date: 2020-09-04T20:42:08Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system U of I Only Restriction Lifted for Item 107210 on 2020-09-05T09:15:32Z. application/pdf http://hdl.handle.net/2142/101127 en Copyright 2018 Fredrick A South optics imaging computational imaging optical coherence tomography adaptive optics optical aberrations coherent imaging Computational optical coherence tomography for polarization-sensitive imaging, aberration correction, and wavefront measurement text text Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign Dissertation Ph.D.