A simple, approachable ptychography experimental pipeline written in Python.
Maintained by Nick Porter, jacioneportier@gmail.com
There are some really robust software packages out there for doing ptychography—PtyPy, PyNX, and PtychoShelves, to name just a few. However, while these all deliver incredible performance, they come with an unfortunately necessary tradeoff in readability and approachability. This software is an attempt to do the opposite. It’s written with a people-over-performance philosophy, which I think will be helpful for ptychography newcomers (like myself, not too long ago).
As to why I chose the name “PtychoDactyl,” it was a combination four factors. First, there aren’t very many words that have the silent “p” and I wanted that. Second, I used my fingers (greek dactylos) to type it. Third, my son likes dinosaurs (although technically pterosaurs weren’t dinosaurs). Finally, GitHub asked for a name and it was the first thing I could come up with.
This repository contains code for collecting and analyzing 2D ptychography data, with 3D hopefully supported soon.
Download the PtychoDactyl source code from the git repository (currently private, maybe a link will go here eventually). You will also need the following packages, all available via pip install:
- h5py (>=3.2.1)
- matplotlib (>=3.4.2)
- numpy (>=1.20.3)
- pillow (>=8.2.0)
- progressbar2 (>=3.53.1)
- scikit-image (>=0.18.1)
- scipy (>=1.6.3)
So far, this project has only been tested on Windows 10, running Python 3.8.
If I end up making this code public, I'll put the documentation on readthedocs.org. For now, you can just open /docs/_build/html/index.html with a web browser to get to the main page and navigate around the docs from there.