대구한의대학교 향산도서관

상세정보

부가기능

Sparsity-based Computational Three Dimensional Microscopic Imaging

상세 프로파일

상세정보
자료유형학위논문
서명/저자사항Sparsity-based Computational Three Dimensional Microscopic Imaging.
개인저자He, Kuan.
단체저자명Northwestern University. Computer Science.
발행사항[S.l.]: Northwestern University., 2019.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2019.
형태사항123 p.
기본자료 저록Dissertations Abstracts International 81-05B.
Dissertation Abstract International
ISBN9781088367704
학위논문주기Thesis (Ph.D.)--Northwestern University, 2019.
일반주기 Source: Dissertations Abstracts International, Volume: 81-05, Section: B.
Advisor: Cossairt, Oliver.
이용제한사항This item must not be sold to any third party vendors.
요약Recovering 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)
일반주제명Computer science.
언어영어
바로가기URL : 이 자료의 원문은 한국교육학술정보원에서 제공합니다.

서평(리뷰)

  • 서평(리뷰)

태그

  • 태그

나의 태그

나의 태그 (0)

모든 이용자 태그

모든 이용자 태그 (0) 태그 목록형 보기 태그 구름형 보기
 
로그인폼