Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Phase retrieval from 4-dimensional electron diffraction datasets   We present a computational imaging mode for large scale electron microscopy
data, which retrieves a complex wave from noisy/sparse intensity recordings
using a deep learning approach and subsequently reconstructs an image of the
specimen from the Convolutional Neural Network (CNN) predicted exit waves. We
demonstrate that an appropriate forward model in combination with open data
frameworks can be used to generate large synthetic datasets for training. In
combination with augmenting the data with Poisson noise corresponding to
varying dose-values, we effectively eliminate overfitting issues. The U-NET
based architecture of the CNN is adapted to the task at hand and performs well
while maintaining a relatively small size and fast performance. The validity of
the approach is confirmed by comparing the reconstruction to well-established
methods using simulated, as well as real electron microscopy data. The proposed
method is shown to be effective particularly in the low dose range, evident by
strong suppression of noise, good spatial resolution, and sensitivity to
different atom types, enabling the simultaneous visualisation of light and
heavy elements and making different atomic species distinguishable. Since the
method acts on a very local scale and is comparatively fast it bears the
potential to be used for near-real-time reconstruction during data acquisition.

3
The categories of this paper are: physics
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
1
The categories of this paper are: cs
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
23
The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys