ArticleScientific reports2022
Automatic parameter selection for electron ptychography via Bayesian optimization.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Magnon confinement in epitaxial antiferromagnetic oxide heterostructures.Nature materials · 2026Article
- Atomic-Scale Imaging of Lithium Vacancies in a Battery Cathode by Multislice Electron Ptychography.Nano letters · 2026Article
- phaser: a unified and extensible framework for fast electron ptychography.npj computational materials · 2026Article
- Ptychoscopy: a user friendly experimental design tool for ptychography.Scientific reports · 2025Article
- Sub-nanometer depth resolution and single dopant visualization achieved by tilt-coupled multislice electron ptychography.Nature communications · 2025Article
- Imaging 3D chemistry at 1 nm resolution with fused multi-modal electron tomography.Nature communications · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Electron ptychography provides new opportunities to resolve atomic structures with deep sub-angstrom spatial resolution and to study electron-beam sensitive materials with high dose efficiency. In practice, obtaining accurate ptychography images requires simultaneously optimizing multiple parameters that are often selected based on trial-and-error, resulting in low-throughput experiments and preventing wider adoption. Here, we develop an automatic parameter selection framework to circumvent this problem using Bayesian optimization with Gaussian processes. With minimal prior knowledge, the workflow efficiently produces ptychographic reconstructions that are superior to those processed by experienced experts. The method also facilitates better experimental designs by exploring optimized experimental parameters from simulated data.
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Registered trials
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