The Cramér-Rao lower bound for the precision of scan position refinement in momentum-resolved STEM

Accurate knowledge of probe positions in ptychographic object retrieval using momentum-resolved scanning transmission electron microscopy (STEM) is vital for reconstructing phase gratings with utmost precision and spatial resolution. When measuring the entire 2D diffraction pattern, ptychography can not only reconstruct the specimen's potential landscape but also refine the scan positions via various methods. However, due to Poisson shot noise, the achievable precision limit for each refinement strategy is constrained by the measurement itself. Using the concept of Fisher information, we derive a method to calculate the highest achievable precision for the scan positions that any unbiased estimator could attain, called the Cramér-Rao lower bound (CRLB). We investigate the impacts of different simulation, experimental, and reconstruction parameters on the CRLB, namely dose, defocus, partial coherence, and specimen structure. Using the Wirtinger Flow, the results are compared to the effectively achieved precisions in gradient-based reconstructions. Based on these findings, the CRLB is worked out as an important tool for both the choice of experimental settings in a STEM acquisition and especially as a guideline for any scan position refinement strategy, in that it offers a robust criterion to decide whether further optimization can be expected to improve or even worsen the result.

Authors

Institutions

Publication Details

Journal
Ultramicroscopy
Published
2026-05-01
DOI
https://doi.org/10.1016/j.ultramic.2026.114379
Primary Topic
Advanced Electron Microscopy Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Cramér-Rao lower bound for the precision of scan position refinement in momentum-resolved STEM

Tizian Lorenzen, Max Leo Leidl, Knut Müller-Caspary, Andreas Jehle
Ultramicroscopy
Advanced Electron Microscopy Techniques and Applications
article

The Cramér-Rao lower bound for the precision of scan position refinement in momentum-resolved STEM

Tizian Lorenzen, Max Leo Leidl, Knut Müller-Caspary, Andreas Jehle
article en

Abstract

Accurate knowledge of probe positions in ptychographic object retrieval using momentum-resolved scanning transmission electron microscopy (STEM) is vital for reconstructing phase gratings with utmost precision and spatial resolution. When measuring the entire 2D diffraction pattern, ptychography can not only reconstruct the specimen's potential landscape but also refine the scan positions via various methods. However, due to Poisson shot noise, the achievable precision limit for each refinement strategy is constrained by the measurement itself. Using the concept of Fisher information, we derive a method to calculate the highest achievable precision for the scan positions that any unbiased estimator could attain, called the Cramér-Rao lower bound (CRLB). We investigate the impacts of different simulation, experimental, and reconstruction parameters on the CRLB, namely dose, defocus, partial coherence, and specimen structure. Using the Wirtinger Flow, the results are compared to the effectively achieved precisions in gradient-based reconstructions. Based on these findings, the CRLB is worked out as an important tool for both the choice of experimental settings in a STEM acquisition and especially as a guideline for any scan position refinement strategy, in that it offers a robust criterion to decide whether further optimization can be expected to improve or even worsen the result.

UltramicroscopyVol. 284
Center for NanoScience (DE), Ludwig-Maximilians-Universität München (DE)
Deutsche Forschungsgemeinschaft, European Research Council
Climate action
Openalex Percentile: Top 8%
Advanced Electron Microscopy Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.