Published December 21, 2022 | Version v1

Dataset of "Challenging Point Scanning across Electron Microscopy and Optical Imaging using Computational Imaging"

  • 1. UNIMORE
  • 2. CNR-Nano S3 Modena

Description

Dataset containing the jupyter notebook with codes for the simulation of the structured illumination patterns used for image reconstruction (the simulation parameters have been optimized to make sure that the patterns were almost identical to the experimental ones), the reconstruction algorithms. Moreover, there are three experimental dataset saved as txxt file, where each line contains the six biases applied to the electron modulator and the intensity measured by the single pixel detector that we used.

Files

Dataset1.txt

Files (4.9 MB)

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md5:bedd60926a5dda8bedecfa085e844416
217.3 kB Preview Download
md5:d7513eb6b845f346f6b0ac9bf45795d4
265.0 kB Preview Download
md5:0e0691bb8019c31226cb30431d50e83b
132.5 kB Preview Download
md5:3b9e3bf3ab7c7d39b9df5b55a407407b
125.1 kB Preview Download
md5:6dcbd10e9949b6a9cab6cba5834b6e65
2.1 MB Download
md5:3ddcced6edcaf473dec6bab6b0442686
2.1 MB Download

Additional details

Related works

Is source of
Journal article: 10.34133/icomputing.0001 (DOI)
Journal article: https://zenodo.org/record/7858447 (URL)

Funding

European Commission
Q-SORT - QUANTUM SORTER 766970
European Commission
SMART-electron - ULTRAFAST ALL-OPTICAL SPATIO-TEMPORAL ELECTRON MODULATORS: OPENING NEW FRONTIERS IN ELECTRON MICROSCOPY 964591