ArticleScientific reports2025
Ptychoscopy: a user friendly experimental design tool for ptychography.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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
1 citing paper in PubMed.
- Ptychography at all wavelengths.Nature reviews. Methods primers · 2025Article
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Authors and funding
6 authors.
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Abstract
Electron ptychography is a rapidly growing diffractive imaging technique providing superior image contrast, high resolution, efficient dose usage and versatile imaging conditions. Originally coming from the physical sciences, it has also become a method of interest in the life sciences. Regardless of the scientific field, the successful ptychographic reconstruction relies on various combinations of adjustable experimental parameters, along with the choice of the reconstruction algorithm. In this work we present ptychoScopy, a Python-based tool developed to simplify the selection of these parameters and aid successful experimental design. Using a [Formula: see text] sample, we show the influence of key parameters such as probe convergence angle, defocus and electron dose on the reconstruction quality using direct and iterative reconstruction algorithms. We investigate the influence of real and reciprocal space sampling and their influence on the speed and quality of ptychographic reconstructions. PtychoScopy simplifies experimental design and guides the researchers across diverse scientific fields in setting up successful ptychographic experiments.
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Registered trials
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