Projekter pr. år
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.
Bidragets oversatte titel | Magni: En Python-pakke til komprimeret sampling og rekonstruktion af billeder fra atomar kraft-mikroskopi |
---|---|
Originalsprog | Engelsk |
Tidsskrift | Journal of Open Research Software |
Vol/bind | 2 |
Udgave nummer | 1 |
ISSN | 2049-9647 |
DOI | |
Status | Udgivet - 7 okt. 2014 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Magni: En Python-pakke til komprimeret sampling og rekonstruktion af billeder fra atomar kraft-mikroskopi'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Afsluttet
-
FastAFM: Enabling Fast Image Acquisition for Atomic Force Microscopy using Compressed Sensing
Larsen, T., Østergaard, J., Jensen, T., Arildsen, T., Oxvig, C. S. & Pedersen, P. S.
01/09/2013 → 31/08/2016
Projekter: Projekt › Forskning