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008200131s2019 ||||||||||||||||| ||eng d
020 ▼a 9781088367704
035 ▼a (MiAaPQ)AAI22588147
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 004
1001 ▼a He, Kuan.
24510 ▼a Sparsity-based Computational Three Dimensional Microscopic Imaging.
260 ▼a [S.l.]: ▼b Northwestern University., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 123 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-05, Section: B.
500 ▼a Advisor: Cossairt, Oliver.
5021 ▼a Thesis (Ph.D.)--Northwestern University, 2019.
506 ▼a This item must not be sold to any third party vendors.
520 ▼a Recovering three-dimensional (3D) structural information of a specimen from a single two-dimensional (2D) measurement remains an important but challenging task in microscopic imaging. A conventional 2D microscopic image has a shallow depth-of-focus (DoF). Thus, recovering 3D information usually requires sequentially z-scanning the focal planes. This process is time consuming and requires precise mechanical control. The long acquisition time of focal scanning microscopy fundamentally prevents the applications in in vivo imaging, especially when the 3D movement of biomedical objects is desired. To realize snapshot 3D microscopy, a standard microscope has to be modified in such a way that 3D information can be encoded onto a 2D plane.In this thesis, I explore and discuss three different snapshot 3D microscopic imaging techniques: (1) multifocal microscopy (MFM)
590 ▼a School code: 0163.
650 4 ▼a Computer science.
690 ▼a 0984
71020 ▼a Northwestern University. ▼b Computer Science.
7730 ▼t Dissertations Abstracts International ▼g 81-05B.
773 ▼t Dissertation Abstract International
790 ▼a 0163
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15493061 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1008102
991 ▼a E-BOOK