Title: Structure Assisted Compressed Sensing Reconstruction of Undersampled AFM Images Dataset

Type Dataset Oxvig, Christian Schou, Arildsen, Thomas, Larsen, Torben (2015): Structure Assisted Compressed Sensing Reconstruction of Undersampled AFM Images Dataset. Zenodo. Dataset. https://zenodo.org/record/18401

Authors: Oxvig, Christian Schou (Department of Electronic Systems, Aalborg University) ; Arildsen, Thomas (Department of Electronic Systems, Aalborg University) ; Larsen, Torben (Department of Electronic Systems, Aalborg University) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

This deposition contains the results from a simulation of reconstructions of undersampled atomic force microscopy (AFM) images. The reconstructions were obtained using weighted iterative thresholding compressed sensing algorithms.

The deposition consists of:

The HDF5 database is licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/) . Since the CC BY 4.0 license is not well suited for source code, the Python script is licensed under the BSD 2-Clause license (http://opensource.org/licenses/BSD-2-Clause) .

The files are provided as-is with no warranty as detailed in the above mentioned licenses.

The database is split into four parts:

These four parts must be concatenated before the database can be extracted from the tar.xz archive. On Unix-like systems this may be done using:

cat weighted_it_reconstructions.hdf5.tar.xz.part-* > weighted_it_reconstructions.hdf5.tar.xz

after which the archive may be extracted, e.g., using:

tar xfJ weighted_it_reconstructions.hdf5.tar.xz

WARNING: The extracted HDF5 database has a size of 70 GiB.

The simulation results in the database are based on "Atomic Force Microscopy Images of Cell Specimens" by Christian Rankl licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). The original images are available at http://dx.doi.org/10.5281/zenodo.17573. The original images are provided as-is without warranty of any kind. Both the original images as well as adapted images are part of the dataset. 

More information

• DOI: 10.5281/zenodo.18401

Subjects

• Atomic Force Microscopy, Compressed Sensing, Undersampling, Image Reconstruction, Reproducible Research

Dates

• Publication date: 2015
• Issued: June 10, 2015

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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