Improving the segmentation of scanning probe microscope images using convolutional neural networks

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Publication date
2020-09-01
Creators
Farley, Steff
Hunsicker, Eugenie
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Description
Training/Testing images and trained UNet model for the paper "Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural Networks", Farley et al.
External URI
DOI
Subjects
  • Scanning probe microscopy
  • Image segmentation
  • Neural networks (Computer science)
  • Machine learning
  • AFM, Machine Learning, Neural Networks, CNN, Image Processing
  • Computer Sciences::Artificial intelligence::Machine learning, Automated reasoning
  • Q Science::QH Natural history. Biology::QH201 Microscopy
Divisions
  • University of Nottingham, UK Campus
  • Other
Research institutes and centres
  • University of Nottingham, UK Campus
Deposit date
2020-09-01
Data type
CNN training data and trained network
Contributors
  • Hodgkinson, Jo
  • Gordon, Oliver
  • Turner, Joanna
  • Soltoggio, Andrea
  • Moriarty, Philip
Funders
  • Other
  • Engineering & Physical Sciences Research Council
  • University of Loughborough
Grant number
  • EP/N02379X/1
Data collection method
Asylum Research MFP-3D AFM
Resource languages
  • en
Publisher
The University of Nottingham
CC-BY
Except where otherwise noted, this item's license is described as Creative Commons by Attribution