Computational Imaging in Atomic Force Microscopy

Add to your list(s) Download to your calendar using vCal

• Thomas Arildsen, Department of Electronic Systems, Faculty of Engineering and Science, Aalborg University, Denmark
• Wednesday 21 September 2016, 11:00-12:00
• Goldsmiths 2, Lecture room, Dept. of Materials Science and Metallurgy.

If you have a question about this talk, please contact Duncan Johnstone.

Atomic force microscopy (AFM) is an imaging technique which can measure the surface structure of a specimen of interest down to nano-scale. It does this by scanning a tiny probe across the surface somewhat like a record player pick-up and thereby measuring a “height map” or other properties of the surface.

In an ongoing research project at Aalborg University we are attempting to speed up imaging or reduce interaction with the sample in AFM . We seek to achieve this by scanning the surface sparsely and thereby reducing the scan time and/or reducing the fraction of the surface area being affected by the probe. This naturally poses some challenges in the imaging process due to the resulting “missing data”.

In this talk we explain how we use computational techniques inspired by compressed sensing, optimisation and inverse problems to reconstruct AFM images from the otherwise insufficient measurements. We explain how we search for and optimise sampling patterns to be better suited for subsequent reconstruction of the images. We present some challenges met in the process of developing the proposed techniques from synthetic numerical experiments to real data from commercial AFM equipment and show examples of the results obtained so far.

This talk is part of the Electron Microscopy Group Seminars series.

This talk is included in these lists:

• All Talks (aka the CURE list)
• Art Cell Gallery Exhibtions
• Cambridge Advanced Imaging Seminars
• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge talks
• Chris Davis' list
• Electron Microscopy Group Seminars
• Featured lists
• Goldsmiths 2, Lecture room, Dept. of Materials Science and Metallurgy
• Interested Talks
• Museums in Cambridge
• Trust & Technology Initiative - interesting events
• bld31
• cambridge advanced imaging
• ndk22's list
• ob366-ai4er
• rp587

Note that ex-directory lists are not shown.