Non-Iterative Holographic Image Reconstruction and Phase Retrieval Using a Deep Convolutional Neural Network

被引：0

作者：

Rivenson, Yair ^{[1
,2
,3
]}

Zhang, Yibo ^{[1
,2
,3
]}

Gunaydn, Harun ^{[1
]}

Teng, Da ^{[1
,4
]}

Ozcan, Aydogan ^{[1
,2
,3
,5
]}

机构：

[1] Univ Calif Los Angeles, David Geffen Sch Med, Elect & Comp Engn Dept, Los Angeles, CA 90095 USA

[2] Univ Calif Los Angeles, David Geffen Sch Med, Bioengn Dept, Los Angeles, CA 90095 USA

[3] Univ Calif Los Angeles, David Geffen Sch Med, Calif NanoSyst Inst CNSI, Los Angeles, CA 90095 USA

[4] Univ Calif Los Angeles, David Geffen Sch Med, Comp Sci Dept, Los Angeles, CA 90095 USA

[5] Univ Calif Los Angeles, David Geffen Sch Med, Dept Surg, Los Angeles, CA 90095 USA

来源：

2018 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO) | 2018年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We demonstrate a non-iterative holographic image reconstruction and phase retrieval framework based on deep learning. After its training, a deep convolutional neural network rapidly recovers phase and amplitude images of specimen from a single hologram.

引用

页数：2

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