Paper
17 July 2015 Coded multi-angular illumination for Fourier ptychography based on Hadamard codes
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Proceedings Volume 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015); 95242C (2015) https://doi.org/10.1117/12.2189655
Event: International Conference on Optical and Photonic Engineering (icOPEN2015), 2015, Singapore, Singapore
Abstract
Fourier ptychographic microscopy (FPM) is a newly developed super-resolution technique, which employs angularly varying illumination and a phase retrieval algorithm to surpass the diffraction limit of the objective lens. Specifically, FP captures a set of low-resolution (LR) images, under angularly varying illuminations, and stitches them together in the Fourier domain. However, because the requisite large number of incident illumination angles, the long capturing process becomes an obvious limiting factor. Furthermore, in order to acquire high-dynamic range images, the time can be increased several times over. In this work, utilizing the Hadamard code principle, we propose a highly efficient method, which applies coded multi-angular illumination for FPM, to shorten the exposure time of each raw image. High acquisition efficiency is achieved by employing an optimal multi-angular illumination scheme by using two set of Hadamard coded multiplexing patterns. Both simulation and experimental results indicate that the proposed multi-angular illumination process could shorten the acquisition time of conventional FPM.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiasong Sun, Yuzhen Zhang, Chao Zuo, Qian Chen, Shijie Feng, Yan Hu, and Jialin Zhang "Coded multi-angular illumination for Fourier ptychography based on Hadamard codes", Proc. SPIE 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015), 95242C (17 July 2015); https://doi.org/10.1117/12.2189655
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Cited by 4 scholarly publications and 17 patents.
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KEYWORDS
Lawrencium

Reconstruction algorithms

Multiplexing

Signal to noise ratio

Detection and tracking algorithms

Light emitting diodes

Algorithm development

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