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

Bidragets oversatte titel: Magni: En Python-pakke til komprimeret sampling og rekonstruktion af billeder fra atomar kraft-mikroskopi

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

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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Resumé

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.
OriginalsprogEngelsk
TidsskriftJournal of Open Research Software
Vol/bind2
Udgave nummer1
ISSN2049-9647
DOI
StatusUdgivet - 7 okt. 2014

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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.",
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Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images. / Oxvig, Christian Schou; Pedersen, Patrick Steffen; Arildsen, Thomas; Østergaard, Jan; Larsen, Torben.

I: Journal of Open Research Software, Bind 2, Nr. 1, 07.10.2014.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images

AU - Oxvig, Christian Schou

AU - Pedersen, Patrick Steffen

AU - Arildsen, Thomas

AU - Østergaard, Jan

AU - Larsen, Torben

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KW - Compressive sensing

KW - Python

KW - Image Reconstruction

KW - Reproducible Research

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