Abstract

Ptychography is a technique widely used in microscopy for achieving high-resolution imaging. This method relies on computational processing of images gathered from diffraction patterns produced by several partial illuminations of a sample. We numerically studied the effect of using different shapes for illuminating the aforementioned sample: convex shapes, such as circles and regular polygons, and unconnected shapes that resemble a QR code. Our results suggest that the use of unconnected shapes seems to outperform convex shapes in terms of convergence and, in some cases, accuracy.

© 2022 Optica Publishing Group

Ptychographic reconstruction with object initialization

Felix Wittwer, Dennis Brückner, and Peter Modregger
Opt. Express 30(19) 33652-33663 (2022)

Efficient ptychographic phase retrieval via a matrix-free Levenberg-Marquardt algorithm

Saugat Kandel, S. Maddali, Youssef S. G. Nashed, Stephan O. Hruszkewycz, Chris Jacobsen, and Marc Allain
Opt. Express 29(15) 23019-23055 (2021)

Lensless LED matrix ptychographic microscope: problems and solutions

Peng Li and Andrew Maiden
Appl. Opt. 57(8) 1800-1806 (2018)

Ptycho-cam: a ptychographic phase imaging add-on for optical microscopy

Yiqian Zhang, Zhuoqun Zhang, and Andrew Maiden
Appl. Opt. 61(10) 2874-2880 (2022)

Adaptive step-size strategy for noise-robust Fourier ptychographic microscopy

Chao Zuo, Jiasong Sun, and Qian Chen
Opt. Express 24(18) 20724-20744 (2016)