Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221106(2020)
Fourier Ptychographic Microscopy Reconstruction Based on Deep Learning
Fig. 2. Examples of 7 × 7 low-resolution images acquired by FPM. (a) Original image; (b) Fourier spectrogram; (c) low-resolution image; (d) images observed by LEDs in different positions
Fig. 3. Structure diagram of proposed Fourier stacked microscopy imaging network model
Fig. 9. Schematic of three LED lighting modes. (a) Turn on all LEDs; (b) turn on bright-field area LEDs; (c) turn on rhombus area LEDs
Fig. 10. Convergence analysis of FPRDCA with different values of N, I, and G and three sampling patterns. (a) N; (b) I; (c) G; (d) three sampling patterns
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Yican Chen, Xia Wu, Zhi Luo, Huidong Yang, Bo Huang. Fourier Ptychographic Microscopy Reconstruction Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221106
Category: Imaging Systems
Received: Mar. 26, 2020
Accepted: Apr. 27, 2020
Published Online: Oct. 24, 2020
The Author Email: Xia Wu (wuxia_liao@qq.com), Bo Huang (wuxia_liao@qq.com)