Fast gradational reconstruction for Fourier ptychographic microscopy

Jizhou Zhang; Tingfa Xu; Xing Wang; Sining Chen; Guoqiang Ni

doi:doi:10.3788/COL201715.111702

Chinese Optics Letters, 2017, 15 (11): 111702, Published Online: Jul. 19, 2018

Fast gradational reconstruction for Fourier ptychographic microscopy Download： 854次

Jizhou Zhang ^1,2Tingfa Xu ^1,2,*Xing Wang ^1,2Sining Chen ^1,2Guoqiang Ni ^1,2

Author Affiliations

¹ School of Optoelectronics, Image Engineering and Video Technology Lab, Beijing Institute of Technology, Beijing 100081, China

² Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, Beijing 100081, China

Figures & Tables

Fig. 4. (Color online) Intensity and phase SSIM curves varying with noise standard deviation and the reconstruction results of three methods with 7×10−4 noise standard deviation.

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Fig. 5. (Color online) Phase SSIM curves with the overlap set as 0.4, 0.5, 0.6, and 0.7, and the reconstruction results of three methods with 0.6 overlap.

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Fig. 6. Experimental setup. (a) The overall appearance of the system. (b) The high-performance sCMOS camera. (c) The controller of the LED array. (d) The customized LED array (only 13×13 elements used).

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Fig. 7. Experimental results of the USAF target. (a) The FOV of the USAF target image. (b1) The enlarged ROI. (b2)–(b4) The reconstructed high-resolution intensities with the sequential method, global method, and GPU-gFPM method, respectively. (c1)–(c4) The intensity line traces corresponding to (b1)–(b4).

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Fig. 8. Experimental results of an animal testis tissue. (a) The FOV of the specimen. (b) The enlarged ROI. (c1)–(c3) The reconstructed high-resolution intensities with the sequential method, global method, and GPU-gFPM method, respectively. (d1)–(d3) The reconstruction high-resolution phase images corresponding to (c1)–(c3).

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Table1. Reconstruction Speed in Simulation

	$128 \times 128$ Size		$512 \times 512$ Size
Method	Iterations	Time (s)	Iterations	Time (s)
Sequential	17	1.91	12	20.50
Global	86	6.83	64	89.34
gFPM	26	1.76	25	26.66
GPU-gFPM	26	0.61	25	3.89

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Table2. Reconstruction Speed

	One Section		FOV
Method	Iterations	Time (s)	Iterations	Time (s)
Sequential	25	81.48	$25 \times 42$	3329.27
Global	50	89.79	$50 \times 42$	3491.32
gFPM	34	40.58	$34 \times 42$	1524.43
GPU-gFPM	34	9.87	$34 \times 42$	179.91

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Jizhou Zhang, Tingfa Xu, Xing Wang, Sining Chen, Guoqiang Ni. Fast gradational reconstruction for Fourier ptychographic microscopy[J]. Chinese Optics Letters, 2017, 15(11): 111702.

Fast gradational reconstruction for Fourier ptychographic microscopy Download： 854次

Fig. 1. Global reconstruction procedure of FPM.

Fig. 2. Block diagram of the gFPM method.

Fig. 3. Reconstruction results of different gradations in the gFPM method.

Fig. 4. (Color online) Intensity and phase SSIM curves varying with noise standard deviation and the reconstruction results of three methods with 7×10−4 noise standard deviation.

Fig. 5. (Color online) Phase SSIM curves with the overlap set as 0.4, 0.5, 0.6, and 0.7, and the reconstruction results of three methods with 0.6 overlap.

Fig. 6. Experimental setup. (a) The overall appearance of the system. (b) The high-performance sCMOS camera. (c) The controller of the LED array. (d) The customized LED array (only 13×13 elements used).

Table1. Reconstruction Speed in Simulation

Table2. Reconstruction Speed

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Fast gradational reconstruction for Fourier ptychographic microscopy Download： 854次

Fig. 1. Global reconstruction procedure of FPM.

Fig. 2. Block diagram of the gFPM method.

Fig. 3. Reconstruction results of different gradations in the gFPM method.

Fig. 4. (Color online) Intensity and phase SSIM curves varying with noise standard deviation and the reconstruction results of three methods with 7×10−4 noise standard deviation.

Fig. 5. (Color online) Phase SSIM curves with the overlap set as 0.4, 0.5, 0.6, and 0.7, and the reconstruction results of three methods with 0.6 overlap.

Fig. 6. Experimental setup. (a) The overall appearance of the system. (b) The high-performance sCMOS camera. (c) The controller of the LED array. (d) The customized LED array (only 13×13 elements used).

Table1. Reconstruction Speed in Simulation

Table2. Reconstruction Speed

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