An Immersive Feedback Framework for Scanning Probe Microscopy

Denis Heitkamp, Jaccomo Lorenz, Maximilian Koall, Philipp Rahe, Philipp Lensing

2023

Abstract

In this paper we introduce an application for analyzing datasets obtained by scanning probe microscopy (SPM). Datasets obtained by such microscopes are typically depicted by two-dimensional images where the measured quantity (typically forces or electric current) is represented by pixel intensities of a rasterized image. Recording several images of this kind with one parameter being in- or decremented before recording the next image results in three-dimensional datasets. A conventional two-dimensional representation of such data by visualizing an axis-aligned slice cutting through the 3D data seems insufficient, since only a fraction of the available data can be examined at once. To improve the understanding of the measured data we propose utilizing a haptic device with four different real-time haptic models (collision, force, vibration and viscosity) in order to reinterpret nano surfaces in an intuitive way. This intuition is furthermore improved by virtually scaling the nano data to normal sized surfaces perceived through a Head Mounted Display (HMD). This stereoscopic visualization is real-time capable while providing different rendering techniques for 3D (volumetric) and 2D datasets. This combination of appealing real-time rendering in conjunction with a direct haptic feedback creates an immersive experience, which has the potential to improve efficiency while examining SPM data.

Paper Citation

in Harvard Style

Heitkamp D., Lorenz J., Koall M., Rahe P. and Lensing P. (2023). An Immersive Feedback Framework for Scanning Probe Microscopy. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 1: GRAPP; ISBN 978-989-758-634-7, SciTePress, pages 179-187. DOI: 10.5220/0011653400003417

in Bibtex Style

@conference{grapp23,
author={Denis Heitkamp and Jaccomo Lorenz and Maximilian Koall and Philipp Rahe and Philipp Lensing},
title={An Immersive Feedback Framework for Scanning Probe Microscopy},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 1: GRAPP},
year={2023},
pages={179-187},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011653400003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 1: GRAPP
TI - An Immersive Feedback Framework for Scanning Probe Microscopy
SN - 978-989-758-634-7
AU - Heitkamp D.
AU - Lorenz J.
AU - Koall M.
AU - Rahe P.
AU - Lensing P.
PY - 2023
SP - 179
EP - 187
DO - 10.5220/0011653400003417
PB - SciTePress