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Popescu, Gabriel Kandel, Mikhail Eugene 2017-03-01T15:49:37Z 2017-03-01T15:49:37Z 2016-12-09 2016-12 Quantitative phase imaging (QPI) yields the spatial phase map of the object’s scattering potential. QPI has enabled unprecedented label-free studies in biomedicine, ranging from cell dynamics and growth to cancer diagnosis and prognosis. The field is currently transitioning from technology-driven to application-driven research and from engineering-background users to biomedical-background users. Aligned with these efforts, we present our recent advances in high-throughput, user-friendly QPI technology for multiscale spatiotemporal imaging. Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-02-28 without embargo terms The student, Mikhail Kandel, accepted the attached license on 2016-12-09 at 11:30. The student, Mikhail Kandel, submitted this Thesis for approval on 2016-12-09 at 11:44. This Thesis was approved for publication on 2016-12-09 at 13:34. DSpace SAF Submission Ingestion Package generated from Vireo submission #10505 on 2017-02-28 at 15:04:21 Made available in DSpace on 2017-03-01T15:49:37Z (GMT). No. of bitstreams: 2 KANDEL-THESIS-2016.pdf: 12237768 bytes, checksum: e8b3d04e66e6367d2cc85b9d5c049390 (MD5) LICENSE.txt: 4211 bytes, checksum: 74cec53f2fff974d6045722e50af1d75 (MD5) Previous issue date: 2016-12-09 application/pdf http://hdl.handle.net/2142/95429 en Copyright 2016 Mikhail Kandel Microscopy Interferometry Quantitative phase imaging High throughput imaging Gradient light interference microscopy (GLIM) Diffraction phase microscopy Spatial light interference microscopy (SLIM) Diffraction phase microscopy (DPM) Multiscale imaging Tomography Slide scanner High throughput platform for multiscale quantitative phase imaging text text Electrical & Computer Eng Electrical & Computer Engr University of Illinois at Urbana-Champaign Thesis M.S.