Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images

Christian Schou Oxvig, Patrick Steffen Pedersen, Thomas Arildsen, Jan Østergaard, Torben Larsen

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Abstract

Magni is an open source Python package that embraces compressed sensing and Atomic Force Microscopy (AFM) imaging techniques. It provides AFM-specific functionality for undersampling and reconstructing images from AFM equipment and thereby accelerating the acquisition of AFM images. Magni also provides researchers in compressed sensing with a selection of algorithms for reconstructing undersampled general images, and offers a consistent and rigorous way to efficiently evaluate the researchers own developed reconstruction algorithms in terms of phase transitions. The package also serves as a convenient platform for researchers in compressed sensing aiming at obtaining a high degree of reproducibility of their research.
Translated title of the contributionMagni: En Python-pakke til komprimeret sampling og rekonstruktion af billeder fra atomar kraft-mikroskopi
Original languageEnglish
JournalJournal of Open Research Software
Volume2
Issue number1
ISSN2049-9647
DOIs
Publication statusPublished - 7 Oct 2014

Keywords

  • Atomic Force Microscopy
  • Compressive sensing
  • Python
  • Image Reconstruction
  • Reproducible Research

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