Evaluating the Transfer of Information in Phase Retrieval STEM Techniques

Abstract

Phase retrieval methods in scanning transmission electron microscopy (STEM) recover scattered phase information from far-field intensity measurements of a converged electron probe. We evaluate the performance of various phase retrieval techniques – including center-of-mass imaging (COM), tilt-corrected bright-field STEM (tcBF), and direct ptychographic methods such as single-side band (SSB) and Wigner distribution deconvolution (WDD) – under different experimental conditions. Through analytical derivation of contrast transfer functions (CTF) under the weak phase-object approximation and numerical validation using white-noise samples, we assess the impact of scan sampling, illumination aberrations, and detector geometries. Based on these findings, we develop a novel direct ptychographic algorithm that combines the relaxed scan-sampling advantages of tcBF while avoiding CTF zero-crossings through SSB recovery. Our analysis reveals fundamental limitations in using CTF as a performance metric and demonstrates the advantages of dose-invariant spectral signal-to-noise ratio (SSNR) for evaluating phase retrieval methods.

Keywords:scanning transmission electron microscopydirect and iterative ptychographypixelated and segmented detectorscenter of mass imagingcontrast transfer functionspectral signal-to-noise ratiodetector quantum efficiency

Competing Interests

The authors declare that they have no known competing interests.

Acknowledgments

Work at the Molecular Foundry was supported by the Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. JMB and LJ acknowledge support from Research Ireland grant number 19/FFP/6813. LJ acknowledges support from Royal Society and Research Ireland grant numbers URF/RI/191637 and 12/RC/2278_P2. SMR and CO acknowledge support from the DOE Early Career Research Program. GV acknowledges support from the Miller Institute for Basic Research in Science.