Enabling Fast Image Acquisition for Atomic Force Microscopy using Compressed Sensing

Projektdetaljer

Beskrivelse

Atomic Force Microscopy (AFM) is one of the most advanced tools for high-resolution imaging and manipulation of nanoscale matter. Unfortunately, standard AFM imaging requires a timescale on the order of minutes to hours to acquire an image which makes it unsuitable for observing dynamic processes. Moreover it is often required to take several images before a suitable image region is found. This significantly reduces the advantages of AFM. With this project, we propose to use compressive sensing and efficient computing in order to provide fast imaging. A simple proof of concept study has verified the potential of the proposed method. To improve the reconstruction performance, probabilistic methods are utilized, and the sampling patterns and dictionaries are jointly designed. The project employs two PhD students and one post-doc at AAU, and has international collaboration with AccelerEyes, USA, and Mississippi State University, USA.
AkronymFastAFM
StatusAfsluttet
Effektiv start/slut dato01/09/201331/08/2016

Aktiviteter

  • 2 Konferenceoplæg
  • 1 Gæsteophold ved andre institutioner

Generalised Approximate Message Passing for Non-I.I.D. Sparse Signals

Thomas Arildsen (Foredragsholder)

21 nov. 201823 nov. 2018

Aktivitet: Foredrag og mundtlige bidragKonferenceoplæg

Cambridge University

Thomas Arildsen (Gæsteforsker)

20 sep. 201622 sep. 2016

Aktivitet: Gæsteophold ved andre institutioner

Mathematical and Statistical Analysis of Spatial Data

Thomas Arildsen (Oplægsholder)

1 jun. 2015

Aktivitet: Foredrag og mundtlige bidragKonferenceoplæg

Publikation

Generalised Approximate Message Passing for Non-I.I.D. Sparse Signals

Oxvig, C. S. & Arildsen, T., 22 nov. 2018. 3 s.

Publikation: Konferencebidrag uden forlag/tidsskriftPaper uden forlag/tidsskriftForskningpeer review

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  • 52 Downloads (Pure)

    Generalised Approximate Message Passing for Non-I.I.D. Sparse Signals

    Oxvig, C. S. & Arildsen, T., 22 nov. 2018.

    Publikation: Konferencebidrag uden forlag/tidsskriftPosterForskning

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  • Generalized Approximate Message Passing: Relations and Derivations

    Oxvig, C. S., Arildsen, T. & Larsen, T., 6 apr. 2017, 63 s.

    Publikation: Bog/antologi/afhandling/rapportRapport

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  • 788 Downloads (Pure)

    Presse/medier

    Forskningsdatasæt

    Weighted GAMP Phase Transitions

    Oxvig, C. S. (Ophavsmand), Arildsen, T. (Ophavsmand) & Larsen, T. (Ophavsmand), Zenodo, 5 sep. 2018

    Datasæt

    Magni Reproducibility Example

    Oxvig, C. S. (Ophavsmand), Arildsen, T. (Ophavsmand) & Larsen, T. (Ophavsmand), VBN, 2016

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