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nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data.

Paul MüllerShada AbuhattumStephanie MöllmertElke UlbrichtAnna V TaubenbergerJochen Guck
Published in: BMC bioinformatics (2019)
The addition of quality-based sorting using supervised learning enables a fully automated and reproducible FD data analysis pipeline for biological samples in AFM.
Keyphrases
  • atomic force microscopy
  • data analysis
  • high speed
  • single molecule
  • machine learning
  • quality improvement
  • deep learning
  • high throughput
  • big data
  • single cell