4.6 Article

Quantitative phase imaging via a cGAN network with dual intensity images captured under centrosymmetric illumination

Journal

OPTICS LETTERS
Volume 44, Issue 11, Pages 2879-2882

Publisher

Optica Publishing Group
DOI: 10.1364/OL.44.002879

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Funding

  1. National Natural Science Foundation of China (NSFC) [61571254]
  2. Shenzhen Fundamental Research fund [JCYJ20170817161409809]
  3. Natural Science Foundation of Guangdong Province [2017A030313353]

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We report an end-to-end approach for quantitative phase imaging based on two intensity measurements. In our approach, we sequentially illuminate the thin complex object using two centrosymmetric LEDs whose incident angles are close to the maximum acceptance angle of the objective lens. We then feed the two acquired images to a conditional generative adversarial network (cGAN) to generate the phase image of a complex object. We show that the cGAN is able to directly learn the mapping relationship from the intensity pair to the targeted phase distribution. The effectiveness of the proposed approach is validated using both simulation and experimental data. (C) 2019 Optical Society of America

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