자료유형 | 학위논문 |
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서명/저자사항 | Sparsity-based Computational Three Dimensional Microscopic Imaging. |
개인저자 | He, Kuan. |
단체저자명 | Northwestern University. Computer Science. |
발행사항 | [S.l.]: Northwestern University., 2019. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
형태사항 | 123 p. |
기본자료 저록 | Dissertations Abstracts International 81-05B. Dissertation Abstract International |
ISBN | 9781088367704 |
학위논문주기 | Thesis (Ph.D.)--Northwestern University, 2019. |
일반주기 |
Source: Dissertations Abstracts International, Volume: 81-05, Section: B.
Advisor: Cossairt, Oliver. |
이용제한사항 | This item must not be sold to any third party vendors. |
요약 | 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) |
일반주제명 | Computer science. |
언어 | 영어 |
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: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |