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Sparsity-based computational three dimensional microscopic imaging

Description:

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...

Keyword:

Microscopy, Single-shot, Computational imaging, and Optimization

Subject:

Computer science

Creator:

He, Kuan

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_680840 and http://dissertations.umi.com/northwestern:14776