Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images
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 provi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2014-10-01
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| Series: | Journal of Open Research Software |
| Subjects: | |
| Online Access: | http://openresearchsoftware.metajnl.com/articles/49 |
| _version_ | 1818285114877018112 |
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| author | Christian Schou Oxvig Patrick Steffen Pedersen Thomas Arildsen Jan Østergaard Torben Larsen |
| author_facet | Christian Schou Oxvig Patrick Steffen Pedersen Thomas Arildsen Jan Østergaard Torben Larsen |
| author_sort | Christian Schou Oxvig |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T01:03:33Z |
| format | Article |
| id | doaj.art-345805e1ed2d46cdbf680f37b18f4337 |
| institution | Directory Open Access Journal |
| issn | 2049-9647 |
| language | English |
| last_indexed | 2024-12-13T01:03:33Z |
| publishDate | 2014-10-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Journal of Open Research Software |
| spelling | doaj.art-345805e1ed2d46cdbf680f37b18f43372022-12-22T00:04:37ZengUbiquity PressJournal of Open Research Software2049-96472014-10-0121e29e2910.5334/jors.bk43Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy ImagesChristian Schou Oxvig0Patrick Steffen Pedersen1Thomas Arildsen2Jan Østergaard3Torben Larsen4Aalborg UniversityAalborg UniversityAalborg UniversityAalborg UniversityAalborg UniversityMagni 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.http://openresearchsoftware.metajnl.com/articles/49omic Force MicroscopyCompressive SensingPythonImage ReconstructionReproducible Research |
| spellingShingle | Christian Schou Oxvig Patrick Steffen Pedersen Thomas Arildsen Jan Østergaard Torben Larsen Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images Journal of Open Research Software omic Force Microscopy Compressive Sensing Python Image Reconstruction Reproducible Research |
| title | Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images |
| title_full | Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images |
| title_fullStr | Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images |
| title_full_unstemmed | Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images |
| title_short | Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images |
| title_sort | magni a python package for compressive sampling and reconstruction of atomic force microscopy images |
| topic | omic Force Microscopy Compressive Sensing Python Image Reconstruction Reproducible Research |
| url | http://openresearchsoftware.metajnl.com/articles/49 |
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