Iterative optimization in tomographic deconvolution phase microscopy

被引:9
作者
Bao, Yijun [1 ]
Gaylord, Thomas K. [1 ]
机构
[1] Georgia Inst Technol, Sch Elect & Comp Engn, 777 Atlantic Dr NW, Atlanta, GA 30332 USA
基金
美国国家科学基金会;
关键词
OPTICAL DIFFRACTION TOMOGRAPHY; DIGITAL HOLOGRAPHIC MICROTOMOGRAPHY; PARTIALLY COHERENT-LIGHT; MISSING CONE; LIVE CELLS; RECONSTRUCTION; REGULARIZATION; ILLUMINATION; RESOLUTION; FIBERS;
D O I
10.1364/JOSAA.35.000652
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Tomographic deconvolution phase microscopy (TDPM) is a three-dimensional (3D) quantitative phase imaging (QPI) method using partially coherent light that can be implemented on a commercial microscope platform. However, the measurement procedure is relatively time-consuming because it requires many illumination angles. In the present work, an edge-preserving iterative optimization algorithm is presented and applied to TDPM, so that the required number of illumination angles is reduced from 15 to 3, while the measurement accuracy remains high. In addition, the iterative algorithm does not require matrix representation of operators, so the memory requirement is correspondingly reduced. (c) 2018 Optical Society of America
引用
收藏
页码:652 / 660
页数:9
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