Data preprocessing methods for robust Fourier ptychographic microscopy
Data preprocessing methods for robust Fourier ptychographic microscopy
复制标题
稳健的傅里叶叠层显微术的数据预处理方法
DOI：
10.1117/1.oe.56.12.123107
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发表时间：
2017-06
影响因子：
1.3
通讯作者：
Baoli Yao
中科院分区：
文献类型：
--
作者：
Yan Zhang;An Pan;Ming Lei;Baoli Yao
抽象。傅立叶重叠关联显微术（FPM）是近年来发展起来的一种计算成像技术，它可以获得具有高分辨率和大视场的千兆像素图像。在当前的FPM实验装置中，由于低信噪比，具有高角度照明的暗场图像容易被杂散光和背景噪声淹没，从而显著降低了FPM方法可实现的分辨率。我们提供了一个全面和系统的数据预处理方案，以提高FPM的性能，其中包括采样分析，曝光不足/曝光过度的处理，背景噪声抑制，杂散光消除。实验证明，与美国空军（USAF）1951年分辨率的目标和生物样本，通过这些方法去除噪声的好处远远超过了伴随的信号丢失的缺陷，作为丢失的信号的一部分，可以通过改进的采样之间的捕获的原始图像补偿。此外，报告的非参数计划可以进一步与现有的国家的最先进的算法具有很大的灵活性，促进更强的噪声鲁棒能力的FPM方法在各种应用中。
Abstract. Fourier ptychographic microscopy (FPM) is a recently developed computational imaging technique that achieves gigapixel images with both high resolution and large field-of-view. In the current FPM experimental setup, the dark-field images with high-angle illuminations are easily overwhelmed by stray lights and background noises due to the low signal-to-noise ratio, thus significantly degrading the achievable resolution of the FPM approach. We provide an overall and systematic data preprocessing scheme to enhance the FPM’s performance, which involves sampling analysis, underexposed/overexposed treatments, background noises suppression, and stray lights elimination. It is demonstrated experimentally with both US Air Force (USAF) 1951 resolution target and biological samples that the benefit of the noise removal by these methods far outweighs the defect of the accompanying signal loss, as part of the lost signals can be compensated by the improved consistencies among the captured raw images. In addition, the reported nonparametric scheme could be further cooperated with the existing state-of-the-art algorithms with a great flexibility, facilitating a stronger noise-robust capability of the FPM approach in various applications.
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影响因子：
3.8
作者：
Guizar-Sicairos, Manuel;Fienup, James R.
通讯作者：
Fienup, James R.
影响因子：
10.4
作者：
Tian, Lei;Liu, Ziji;Waller, Laura
通讯作者：
Waller, Laura
影响因子：
10.4
作者：
Tian, Lei;Waller, Laura
通讯作者：
Waller, Laura
DOI：
--
发表时间：
--
期刊：
--
影响因子：
--
作者：
J. Chung;Jinho Kim;X. Ou;R. Horstmeyer;Changhuei Yang;J.-A J W Lichtman;Nat Conchello;D. J. Stephens;V. J. Allan;A R Kherlopian;T. Song;Q. Duan;M. Neimark;M. Po;J. Gohagan;A. F. Laine;G Zheng;R. Horstmeyer;C. Yang;X Ou;G. Zheng;S Dong;K. Guo;P. Nanda;R. Shiradkar;L. Tian;X. Li;K. Ramchandran;L. Waller;A Williams;J. Chung;X. Ou;S. Rawal;Z. Ao;R. Datar;R. Cote;Fourier;High;L. A. C. Nahrstedt;Schooley;P J Sementilli;B. R. Hunt;M. Nadar;L G Leff;A. A. Leff-A.;K G Porter;Y. S. Feig;C. Liang;A. Y. Park;J. Guan;P Godard;M. Allain;V. Chamard;J. Rodenburg;A. Yang;J. Qian;A. Schirotzek;F. Maia;S. Marchesini;R Horstmeyer;R. Y. Chen;B. Ames;J. Tropp;Y Shechtman;Y. Eldar;A. Szameit;M. Segev;Z. Liu;L.-H Yeh;M. Chen;J. Zhong;M Guizar-Sicairos;J. Fienup;P Thibault;M. Dierolf;A. Menzel;O. Bunk;C. David;F. Pfeiffer;High-Resolution Scanning;X-ray;G M P Kempen;V. L. J. Vliet;G E Healey;R. Kondepudy;L Yuan;J. Sun;L. Quan;H.-Y Shum;J. Lee;Y.-S Ho;R P Perry;Hanser;M. Gustafsson;D. Agard;J. Sedat
通讯作者：
J. Chung;Jinho Kim;X. Ou;R. Horstmeyer;Changhuei Yang;J.-A J W Lichtman;Nat Conchello;D. J. Stephens;V. J. Allan;A R Kherlopian;T. Song;Q. Duan;M. Neimark;M. Po;J. Gohagan;A. F. Laine;G Zheng;R. Horstmeyer;C. Yang;X Ou;G. Zheng;S Dong;K. Guo;P. Nanda;R. Shiradkar;L. Tian;X. Li;K. Ramchandran;L. Waller;A Williams;J. Chung;X. Ou;S. Rawal;Z. Ao;R. Datar;R. Cote;Fourier;High;L. A. C. Nahrstedt;Schooley;P J Sementilli;B. R. Hunt;M. Nadar;L G Leff;A. A. Leff-A.;K G Porter;Y. S. Feig;C. Liang;A. Y. Park;J. Guan;P Godard;M. Allain;V. Chamard;J. Rodenburg;A. Yang;J. Qian;A. Schirotzek;F. Maia;S. Marchesini;R Horstmeyer;R. Y. Chen;B. Ames;J. Tropp;Y Shechtman;Y. Eldar;A. Szameit;M. Segev;Z. Liu;L.-H Yeh;M. Chen;J. Zhong;M Guizar-Sicairos;J. Fienup;P Thibault;M. Dierolf;A. Menzel;O. Bunk;C. David;F. Pfeiffer;High-Resolution Scanning;X-ray;G M P Kempen;V. L. J. Vliet;G E Healey;R. Kondepudy;L Yuan;J. Sun;L. Quan;H.-Y Shum;J. Lee;Y.-S Ho;R P Perry;Hanser;M. Gustafsson;D. Agard;J. Sedat
影响因子：
3.3
作者：
Thibault, P.;Guizar-Sicairos, M.
通讯作者：
Guizar-Sicairos, M.