Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images07 Oct 2014
Our most recent paper was published in the Journal of Open Research Software on October 7, 2014. This is a “software meta-paper”, i.e. a paper describing our software package
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.
- The original paper is available open access (CC-BY) here, DOI: 10.5334/jors.bk.
- The accompanying Python software package can be downloaded here, DOI: 10.5278/VBN/MISC/Magni
- The on-going development of the package can be followed here: https://github.com/SIP-AAU/Magni/ (issues and pull requests very welcome!)