Reconstruction Algorithms in Undersampled AFM Imaging - code

  • Thomas Arildsen (Contributor)
  • Christian Schou Oxvig (Contributor)
  • Patrick Steffen Pedersen (Contributor)
  • Torben Larsen (Contributor)

Dataset

Description

This software was used for producing the simulation results for the paper "Review of compressed sensing reconstruction algorithms in AFM cell imaging", submitted to IEEE Journal of Selected Topics in Signal Processing. This deposition consists of a number of Python scripts, some of which were used for producing the results in the accompanying data set available at http://doi.org/10.5281/zenodo.18746 and some of which can be used to extract data and images from said data set. The deposition further contains a README file explaining the purpose and use of the individual files as well as MD5 and SHA checksums of the files for validating the integrity of the data after download. The scripts are licensed under the BSD 2-Clause license (http://opensource.org/licenses/BSD-2-Clause). The scripts perform and analyse results from simulations using images, and reconstructed versions of these, originally published in the data set available at http://dx.doi.org/10.5281/zenodo.17573.
Date made available2015
PublisherZenodo

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