System calibration method for Fourier ptychographic microscopy

TL;DR

This paper introduces a comprehensive system calibration method for Fourier ptychographic microscopy that enhances robustness and accuracy by addressing multiple systematic errors through a novel calibration procedure.

Contribution

The paper proposes a new calibration scheme, SC-FPM, combining simulated annealing, LED correction, and adaptive strategies to correct multiple error sources in FPM.

Findings

Improved reconstruction quality in simulations and experiments.

Enhanced robustness and relaxed experimental conditions.

Effective correction of various systematic errors.

Abstract

Fourier ptychographic microscopy (FPM) is a recently proposed quantitative phase imaging technique with high resolution and wide field-of-view (FOV). In current FPM imaging platforms, systematic error sources come from the aberrations, LED intensity fluctuation, parameter imperfections and noise, which will severely corrupt the reconstruction results with artifacts. Although these problems have been researched and some special methods have been proposed respectively, there is no method to solve all of them. However, the systematic error is a mixture of various sources in the real situation. It is difficult to distinguish a kind of error source from another due to the similar artifacts. To this end, we report a system calibration procedure, termed SC-FPM, based on the simulated annealing (SA) algorithm, LED intensity correction and adaptive step-size strategy, which involves the evaluation of an error matric at each iteration step, followed by the re-estimation of accurate parameters. The great performance has been achieved both in simulation and experiments. The reported system calibration scheme improves the robustness of FPM and relaxes the experiment conditions, which makes the FPM more pragmatic.