3 papers
eess.IV2020
Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural Networks
Steff Farley, Jo E. A. Hodgkinson, Oliver M. Gordon +4
A wide range of techniques can be considered for segmentation of images of nanostructured surfaces. Manually segmenting these images is time-consuming and results in a user-depende…
physics.atm-clus2019
Embedding Human Heuristics in Machine-Learning-Enabled Probe Microscopy
O. Gordon, F. Junqueira, P. Moriarty
Scanning probe microscopists generally do not rely on complete images to assess the quality of data acquired during a scan. Instead, assessments of the state of the tip apex, which…
cs.LG2019
Scanning Probe State Recognition With Multi-Class Neural Network Ensembles
O. Gordon, P. D'Hondt, L. Knijff +4
One of the largest obstacles facing scanning probe microscopy is the constant need to correct flaws in the scanning probe in situ. This is currently a manual, time-consuming proces…