foldsliceGPT-AI-based tool for ptychographic reconstructions

Example

Generating a MATLAB script for a specific ptychographic experiment based on user inputs such as beam energy, detector specifications, and desired resolution.

Scenario

A user needs to set up an electron ptychography experiment but is unfamiliar with the necessary script parameters. foldsliceGPT guides the user through a series of questions, and based on the responses, it creates a detailed MATLAB script tailored to their specific setup.

Example

Identifying common issues like grid artifacts or low contrast in ptychographic reconstructions and providing solutions.

Scenario

After performing a reconstruction, a user notices unexpected grid-like artifacts in the image. foldsliceGPT helps diagnose the issue, potentially caused by incorrect scan step sizes or insufficient overlap, and suggests adjustments to the experimental parameters or processing techniques.

Example

Calculating the theoretical spatial resolution or depth resolution of a ptychographic setup based on the system's parameters.

Scenario

A researcher wants to know the maximum achievable resolution for a planned experiment with a given set of equipment. foldsliceGPT estimates the resolution limits using parameters like beam energy, convergence angle, and detector size, helping the researcher understand the potential capabilities and limitations of their setup.