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.
Cite
CITATION STYLE
Oxvig, C. S., Pedersen, P. S., Arildsen, T., Østergaard, J., & Larsen, T. (2014). Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images. Journal of Open Research Software, 2. https://doi.org/10.5334/jors.bk
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