Michelle

Michelle is ARC Medical’s pathogen detection service. It reads one raw spectrum and names the most likely species, with no thresholds to tune.

MedicalVersion 0.1
87.6%combined accuracy on validation spectra
61,599validation spectra tested
295built-in classifiers
2spectrum types: Raman and MALDI-TOF

What it does

  • One linear classifier per species; the highest score is returned
  • Accepts Raman and MALDI-TOF spectra and can combine both
  • All classifiers ship inside the program, with no separate model files
  • REST API and built-in web interface for local or LAN use
  • New species can be added by retraining

How it works

  1. Submit a raw spectrum through the API or web interface
  2. Michelle extracts features for that spectrum type
  3. Every species classifier scores the spectrum
  4. The highest-scoring species is returned

Good to know

Stage: Version 0.1. Michelle has no built-in sign-in, so place it behind an authentication proxy before exposing it to a network. Accuracy is lower for some closely related species and for species with few training spectra.

Interested in Michelle?

Write to the Medical team about pilots, partnerships or questions.

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