Sensor fusion in ptychography

Abstract

Ptychography is a lensless, computational imaging method that utilises diffraction patterns to determine the amplitude and phase of an object. In transmission ptychography, the diffraction patterns are recorded by a detector positioned along the optical axis downstream of the object. The light scattered at the highest diffraction angle carries information about the finest structures of the object. We present a setup to simultaneously capture a signal near the optical axis and a signal scattered at high diffraction angles. Moreover, we present an algorithm based on a shifted angular spectrum method and automatic differentiation that utilises this recorded signal. By jointly reconstructing the object from the resulting low and high diffraction angle images, the resolution of the reconstructed image is improved remarkably. The effective numerical aperture of the compound sensor is determined by the maximum diffraction angle captured by the off axis sensor.

8 pages, 4 figures, 1 table

References in corpus (4)

• Using Automatic Differentiation as a General Framework for Ptychographic Reconstruction
• Near-field Fourier ptychography: super-resolution phase retrieval via speckle illumination
• Efficient and flexible approach to ptychography using an optimization framework based on automatic differentiation
• Optimizing illumination for precise multi-parameter estimations in coherent diffractive imaging

Cited by in corpus (1)

• Noise-robust latent vector reconstruction in ptychography using deep generative models