Deep learning colorful ptychographic iterative engine lens-less diffraction microscopy

被引：0

作者：

Bian, Yinxu ^{[1
]}

Jiang, Yannan ^{[2
]}

Wang, Jiaxiong ^{[3
]}

Yang, Shenmin ^{[3
]}

Deng, Weijie ^{[4
,5
]}

Yang, Xiaofei ^{[6
]}

Shen, Renbing ^{[2
]}

Shen, Hua ^{[1
,7
]}

Kuang, Cuifang ^{[8
,9
]}

机构：

[1] School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing,210094, China

[2] Department of General Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou,215002, China

[3] Center of Reproduction and Genetics, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou,215002, China

[4] Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun,130033, China

[5] Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences, Changchun,130033, China

[6] School of Optoelectronic Science and Engineering & Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou,215006, China

[7] Department of Material Science and Engineering, University of California Los Angeles, Los Angeles,CA,90095, United States

[8] State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou,310027, China

[9] College of Optical Science and Engineering, Zhejiang University, Hangzhou,310027, China

来源：

Optics and Lasers in Engineering | 2022年 / 150卷

关键词：

Compendex;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Engines

引用

共 45 条

[41] Pixel super-resolution for lens-free holographic microscopy using deep learning neural networks
Luo, Zhenxiang
Yurt, Abdulkadir
Stahl, Richard
Lambrechts, Andy
Reumers, Veerle
Braeken, Dries
Lagae, Liesbet
OPTICS EXPRESS, 2019, 27 (10): : 13581 - 13595
[42] Reagent-Free and Rapid Assessment of T Cell Activation State Using Diffraction Phase Microscopy and Deep Learning
Karandikar, Sukrut Hemant
Zhang, Chi
Meirappan, Akilan
Barman, Ishan
Finck, Christine
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Pandey, Rishikesh
ANALYTICAL CHEMISTRY, 2019, 91 (05) : 3405 - 3411
[43] Scan-less machine-learning-enabled incoherent microscopy for minimally-invasive deep-brain imaging
Guo, Ruipeng
Nelson, Soren
Regier, Mathew
Davis, M. Wayne
Jorgensen, Erik M.
Sheperd, Jason
Menon, Rajesh
OPTICS EXPRESS, 2022, 30 (02) : 1546 - 1554
[44] Evaluation of Abdominal CT Obtained Using a Deep Learning-Based Image Reconstruction Engine Compared with CT Using Adaptive Statistical Iterative Reconstruction
Yoo, Yeo Jin
Choi, In Young
Yeom, Suk Keu
Cha, Sang Hoon
Jung, Yunsub
Han, Hyun Jong
Shim, Euddeum
JOURNAL OF THE BELGIAN SOCIETY OF RADIOLOGY, 2022, 106 (01):
[45] Editorial Comment: Doing More With Less-Deep Learning Iterative Reconstruction Can Improve Diagnostic Image Quality in Pediatric Low-Dose Body CT
Hodes, Aaron D.
AMERICAN JOURNAL OF ROENTGENOLOGY, 2022, 219 (02) : 325 - 325

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