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A simple and robust method for automating analysis of naïve and regenerating peripheral nerves.

Alison L WongNicholas W HriczHarsha MalapatiNicholas von GuionneauMichael J WongThomas HarrisMathieu BoudreauJulien Cohen-AdadSami Tuffaha
Published in: PloS one (2021)
Without any algorithm retraining, ADS was able to appropriately identify critical differences between naïve and regenerating nerves and work with different sample preparation methods of peripheral nerve light micrographs. While there were differences between absolute values between manual and ADS, ADS performed consistently and required much less time. ADS is an accessible and robust tool for AH that can provide consistent analysis across protocols and nerve states.
Keyphrases
  • peripheral nerve
  • machine learning
  • deep learning
  • high resolution
  • mass spectrometry
  • data analysis
  • simultaneous determination