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Jeffrey-Ede authored Jan 22, 2020
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# One-Shot Exit Wavefunction Reconstruction
# Exit Wavefunction Reconstruction from Single Transmisson Electron Micrographs with Deep Learning

Repository for the upcoming [paper](upcoming url!) "One-Shot Exit Wavefunction Reconstruction".
Repository for the upcoming [paper](upcoming url!) "Exit Wavefunction Reconstruction from Single Transmisson Electron Micrographs with Deep Learning".

One-shot exit wavefunction with deep learning uses neural networks to recover phases of conventional transmission electron microscopy images by restricting the distribution of wavefunctions.

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**40**: n=3, multiple materials, restricted simulation hyperparameters

A simple script to reconstruct focal series is in `wavefunctions/hologram_reconstruction_old_code.py`.

# Datasets

New datasets containing 98340 simulated wavefunctions, and 1000 experimental focal series available [here](https://warwick.ac.uk/fac/sci/physics/research/condensedmatt/microscopy/research/machinelearning).
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