journal article·2021-06-01Open access

Deep learning virtual Zernike phase contrast imaging for singlet microscopy

Yinxu Bian, Yannan Jiang, Weijie Deng, Renbing Shen, Hua Shen, Cuifang Kuang

AIP Advances· Volume 11· Issue 6

Abstract

Singlet microscopy is very attractive for the development of cost-effective and portable microscopes. In contrast to conventional microscope objectives, which consist of multiple lenses, the manufacturing process for singlet lenses is done without extensive assembling and aligning. In this manuscript, we report a novel singlet virtual Zernike phase contrast microscopy setup for unstained pathological tumor tissue slides. In this setup, the objective consists of only one lens. There is no need for the inset Zernike phase plate, which is even more expensive than a whole brightfield microscopy setup. The Zernike phase contrast is virtually achieved by the deep learning computational imaging method. For the practical virtual Zernike phase contrast microscopy setup, the computational time is less than 100 ms, which is far less than that of other computational quantitative phase imaging algorithms. With a conceptual demo experimental setup, we proved our proposed method to be competitive with a research-level conventional Zernike phase contrast microscope and effective for the unstained transparent pathological tumor tissue slides. It is believed that our deep learning singlet virtual phase contrast microscopy is potential for the development of low-cost and portable microscopes and benefits resource-limited areas.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Digital Holography and Microscopy · Advanced Fluorescence Microscopy Techniques · Advanced X-ray Imaging Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

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

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

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences 3 , Changchun 130033, China

Key Laboratory of Optical System Advanced Manufacturing Technology, Chinese Academy of Sciences 4 , Changchun 130033, China

Department of Material Science and Engineering, University of California, Los Angeles 5 , Los Angeles, California 90095, USA

State Key Laboratory of Modern Optical Instrumentation, Zhejiang University 6 , Hangzhou 310027, China

College of Optical Science and Engineering, Zhejiang University 7 , Hangzhou 310027, China

Funding

National Natural Science Foundation of China · Basic Research Program of Jiangsu Province · Fundamental Research Funds for the Central Universities · Beijing Satellite Environmental Engineering Institute · Chinese Academy of Sciences · Science and Technology Program of Suzhou · National Key Research and Development Program of China

References (31)

Show source-provided references
1. Opt. Express · 2009 · 17 · 2111810.1364/oe.17.021118 ↗
2. Opt. Express · 2011 · 19 · A28010.1364/oe.19.00a280 ↗
3. Appl. Opt. · 2018 · 57 · 934110.1364/ao.57.009341 ↗
4. Optica · 2018 · 5 · 9910.1364/optica.5.000099 ↗
5. Appl. Phys. Lett. · 2019 · 114 · 10410110.1063/1.5090956 ↗
6. Appl. Phys. Lett. · 2014 · 104 · 15160110.1063/1.4870809 ↗
7. Phase imaging microscopy for the diagnostics of plasma-cell interaction10.1063/1.4922525 ↗
8. APL Photonics · 2020 · 5 · 04080510.1063/5.0004723 ↗
9. Opt. Lasers Eng. · 2019 · 120 · 4010.1016/j.optlaseng.2019.02.015 ↗
10. Rep. Prog. Phys. · 2020 · 83 · 09610110.1088/1361-6633/aba6f0 ↗
11. Opt. Express · 2019 · 27 · 671910.1364/oe.27.006719 ↗
12. Appl. Phys. B · 2017 · 123 · 21710.1007/s00340-017-6791-y ↗
13. Light: Sci. Appl. · 2018 · 7 · 1714110.1038/lsa.2017.141 ↗
14. Light: Sci. Appl. · 2019 · 8 · 2310.1038/s41377-019-0129-y ↗
15. BME Front. · 2020 · 964716310.34133/2020/9647163 ↗
16. Appl. Phys. Lett. · 2006 · 89 · 21111610.1063/1.2397030 ↗
17. ACM Trans. Graphics · 2019 · 38 · 21910.1145/3355089.3356526 ↗
18. Optica · 2020 · 7 · 91310.1364/optica.394413 ↗
19. J. Biophotonics · 2020 · 13 · e20200001310.1002/jbio.202000013 ↗
20. APL Photonics · 2021 · 6 · 03130110.1063/5.0039206 ↗
21. Proc. IEEE · 2020 · 108 · 3010.1109/jproc.2019.2949575 ↗
22. H. Liang, K. N. Plataniotis, and X. Li, arXiv:2007.12578 (2020).
23. D. Mahapatra, B. Bozorgtabar, J.-P. Thiran, and L. Shao, arXiv:2008.02101 (2020).
24. H. Nishar, N. Chavanke, and N. Singhal, arXiv:2010.02659 (2020).
25. APL Photonics · 2020 · 5 · 03080210.1063/1.5140645 ↗
26. APL Photonics · 2020 · 5 · 04610510.1063/5.0003217 ↗
27. AIP Adv. · 2021 · 11 · 01502910.1063/5.0033605 ↗
28. Opt. Express · 2018 · 26 · 2961410.1364/oe.26.029614 ↗
29. Opt. Express · 2020 · 28 · 358710.1364/oe.386152 ↗
30. Vignetting effect in Fourier ptychographic microscopy10.1016/j.optlaseng.2019.02.015 ↗
31. Linear space-variant optical cryptosystem via Fourier ptychography10.1364/ol.44.002032 ↗