APL Photonics (May 2019)

Full-field Fourier ptychography (FFP): Spatially varying pupil modeling and its application for rapid field-dependent aberration metrology

  • Pengming Song,
  • Shaowei Jiang,
  • He Zhang,
  • Xizhi Huang,
  • Yongbing Zhang,
  • Guoan Zheng

DOI
https://doi.org/10.1063/1.5090552
Journal volume & issue
Vol. 4, no. 5
pp. 050802 – 050802-11

Abstract

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Digital aberration measurement and removal play a prominent role in computational imaging platforms aimed at achieving simple and compact optical arrangements. A recent important class of such platforms is Fourier ptychography (FP), which is geared toward efficiently creating gigapixel images with high resolution and large field of view (FOV). In current FP implementations, pupil aberration is often recovered at each small segment of the entire FOV. This reconstruction strategy fails to consider the field-dependent nature of the optical pupil. Given the power series expansion of the wavefront aberration, the spatially varying pupil can be fully characterized by tens of coefficients over the entire FOV. With this observation, we report a Full-field Fourier Ptychography (FFP) scheme for rapid and robust aberration metrology. The meaning of “full-field” in FFP is referred to the recovery of the “full-field” coefficients that govern the field-dependent pupil over the entire FOV. The optimization degrees of freedom are at least two orders of magnitude lower than the previous implementations. We show that the image acquisition process of FFP can be completed in ∼1 s and the spatially varying aberration of the entire FOV can be recovered in ∼35 s using a central processing unit. The reported approach may facilitate the further development of FP. Since no moving part or calibration target is needed in this approach, it may find important applications in aberration metrology. The derivation of the full-field coefficients and its extension for Zernike modes also provide a general tool for analyzing spatially varying aberrations in computational imaging systems.