OnePetri

OnePetri automates enumeration of bacteriophage plaques on circular Petri dishes to provide rapid, quantitative plaque counts for microbiological and virological assays.

Key Features:

• Automated plaque detection: Uses computer vision to detect and enumerate bacteriophage plaques on circular Petri dishes.
• Machine learning models: Employs advanced machine learning models to improve detection accuracy and reduce counting errors.
• Speed improvement: Processes images approximately 30 times faster than manual counting.
• Comparative accuracy: Demonstrated a relative error of ~13% versus manual counting, compared with ~86% for Plaque Size Tool (PST) and ~19% for CFU.AI.
• Detection time: Achieved detection times 1.7 times faster than PST.
• Precision and recall: Balances precision and recall to improve result quality.
• High-throughput enumeration: Enables enumeration on plates with high plaque counts to increase experimental throughput.

Scientific Applications:

• Phage therapy development: Supports rapid plaque counting for titer determination and screening in phage therapy research.
• Microbial ecology: Facilitates quantification of phage populations in microbial ecology studies.
• Virology: Enables efficient plaque-based assays in virology experiments.
• High-throughput screening: Supports high-throughput screening workflows by enabling faster and more accurate plaque enumeration.

Methodology:

Applies computer vision and advanced machine learning models to analyze images of circular Petri dishes and was evaluated against manual counting and compared to Plaque Size Tool (PST) and CFU.AI.