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Computer vision-based diameter maps to study fluoroscopic recordings of small intestinal motility from conscious experimental animals.

I RamírezJ J PantrigoA S MontemayorA E López-PérezM I Martín-FontellesS J H BrookesRaquel Abalo
Published in: Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society (2017)
The automated method developed here needed little investigator input, provided high-resolution results with short computing times, and automatically compensated for breathing and other small movements, allowing recordings to be made without anesthesia. Although slow and/or infrequent events could not be detected in the short recording periods analyzed to date (17-20 seconds), this novel system enhances the analysis of in vivo motility in conscious animals.
Keyphrases
  • high resolution
  • deep learning
  • biofilm formation
  • machine learning
  • high throughput
  • escherichia coli
  • tandem mass spectrometry
  • candida albicans