Software Metapapers
Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images
Authors:
- Christian Schou Oxvig
- Patrick Steffen Pedersen
- Thomas ArildsenEmail Thomas Arildsen
- Jan Østergaard
- Torben Larsen
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.
- Year: 2014
- Volume: 2 Issue: 1
- Page/Article: e29
- DOI: 10.5334/jors.bk
- Published on 7 Oct 2014
- Peer Reviewed