Electron counting in Electron Microscopy (EM) using back-propagation.
This repository provides tools for electron counting in pixelated silicon detectors, such as those used in 4D-STEM experiments. The core method uses a pre-defined Gaussian kernel and back-propagation, implemented in PyTorch, to identify individual electron strikes.
The full documentation, including API reference and examples, is hosted on Read the Docs: https://backpropcount.readthedocs.io
An example of how to run the code is available as a Jupyter Notebook in this repository.
View the example here: notebooks/example_counting.ipynb