PtyLab.m/py/jl: a cross-platform, open-source inverse modeling toolbox for conventional and Fourier ptychography

Area of Science:

• Quantitative Phase Imaging
• Microscopy Techniques
• Computational Imaging

Background:

• Conventional (CP) and Fourier (FP) ptychography are advanced imaging methods.
• Each technique has distinct applications and has evolved independently.
• Algorithmic advancements in one modality often remain isolated from the other.

Purpose of the Study:

• To introduce PtyLab, a unified software framework for CP and FP ptychography.
• To facilitate the exchange of algorithmic developments between CP and FP.
• To lower the barrier to entry for researchers in both fields.

Main Methods:

• Development of an open-source, cross-platform software package named PtyLab.
• Implementation of a unified framework for analyzing both CP and FP ptychography data.
• Support for multiple programming languages including Matlab, Python, and Julia.

Main Results:

• PtyLab provides a single environment for diverse ptychographic data analysis.
• The software enables seamless integration of algorithms across CP and FP modalities.
• Cross-platform availability and multi-language support enhance accessibility.

Conclusions:

• PtyLab bridges the gap between conventional and Fourier ptychography.
• The unified framework fosters innovation through shared algorithmic advancements.
• This tool is expected to accelerate research and development in quantitative phase imaging.