Jupyter based interactive data acquisition tool designed for appropriate ptychographic data collection. It computes nessesary characteristics which play crutial role in final data reconstruction. You can chose of Direct methods (mainly Single Side Band ptychography) or Iterative reconstruction which takes probe defocus into account. With this tool, you can check for probe CTF, scanning step size, probe overlap, detector camera length a proper angular range collection, reconstructed probe size and many more.

Calibrations

Every STEM has its own combination of parameters (magnifications, probe currents, aperture angles, camera lengths or detectors). These have to be taken into account for proper data acquisition design. Before first use, fill your own values into the file calibrations.xlsx. Instructions how to fill are in the sheet called HELP.

Description

PtychoScopy is a Python-based tool that supports experimental design in electron ptychography by helping users explore key parameters like probe convergence angle, defocus, and dose. It enables efficient setup and optimization of reconstructions using both direct and iterative algorithms across physical and life sciences.

4D STEM Data acquisition Electron microscopy Electron ptychography

Readme 2.1 MiB