Projects per year
Abstract
The use of compressed sensing in atomic force microscopy (AFM) can potentially speed-up image acquisition, lower probe-specimen interaction, or enable super resolution imaging. The idea in compressed sensing for AFM is to spatially undersample the specimen, i.e. only acquire a small fraction of the full image of it, and then use advanced computational techniques to reconstruct the remaining part of the image whenever this is possible. Our initial experiments have shown that it is possible to leverage inherent structure in acquired AFM images to improve image reconstruction. Thus, we have studied structure in the discrete cosine transform coefficients of typical AFM images. Based on this study, we propose a generic support structure model that may be used to improve the quality of the reconstructed AFM images. Furthermore, we propose a modification to the established iterative thresholding reconstruction algorithms that enables the use of our proposed structure model in the reconstruction process. Through a large set of reconstructions, the general reconstruction capability improvement achievable using our structured model is shown both quantitatively and qualitatively. Specifically, our experiments show that our proposed algorithm improves over established iterative thresholding algorithms by being able to reconstruct AFM images to a comparable quality using fewer measurements or equivalently obtaining a more detailed reconstruction for a fixed number of measurements.
Translated title of the contribution | Struktur-assisteret compressed sensing rekonstruktion af under-samplede AFM-billeder |
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Original language | English |
Journal | Ultramicroscopy |
Volume | 172 |
Pages (from-to) | 1-9 |
ISSN | 0304-3991 |
DOIs | |
Publication status | Published - Jan 2017 |
Keywords
- atomic force microscopy (AFM)
- compressed sensing
- compressive sampling
- undersampling
- Image Reconstruction
- sparsity modelling
Fingerprint
Dive into the research topics of 'Structure Assisted Compressed Sensing Reconstruction of Undersampled AFM Images'. Together they form a unique fingerprint.Projects
- 1 Finished
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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
Project: Research
Activities
- 1 Visiting another research institution
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University of Cambridge
Thomas Arildsen (Visiting researcher)
20 Sept 2016 → 22 Sept 2016Activity: Visiting another research institution
Datasets
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w-IST/w-IHT Figures
Oxvig, C. S. (Creator), Arildsen, T. (Creator) & Larsen, T. (Creator), VBN, 2016
DOI: 10.5278/vbn/projects/wISTwIHT, http://dx.doi.org/10.5281/zenodo.17573 and 2 more links, http://dx.doi.org/10.5281/zenodo.60434, http://dx.doi.org/10.5281/zenodo.60512 (show fewer)
Dataset
File