Skip to content

mshamash/OnePetri-models

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation



OnePetri - Trained Models

AI-Powered Petri Dish Analysis

Michael Shamash
Maurice Lab
McGill University

Current Version - Trained Models

The latest Petri dish detection model is v1.2. The latest plaque detection model is v1.2.

Citation

Please consider citing our article in the journal PHAGE if you found OnePetri useful:

Shamash, M. & Maurice, C. F. OnePetri: Accelerating Common Bacteriophage Petri Dish Assays with Computer Vision. PHAGE: Therapy, Applications, and Research 2(4), 224-231 (2021).


Table of Contents

  1. About OnePetri
  2. Model Description
  3. Contact
  4. Copyright

About OnePetri

OnePetri is an iOS application which uses machine learning models & computer vision to accelerate common microbiological workflows by automatically detect Petri dishes and plaques, count plaques, and perform assay calculations with these values.

For more information, please visit the OnePetri website here, or GitHub repo here.

Model Description

Coming soon...

Contact

If you have any questions or comments on the OnePetri models in this repo, please create a GitHub issue in this repository!

Copyright

OnePetri - AI-Powered Petri Dish Analysis
Copyright (C) 2021 Michael Shamash