How it works
Detailed operating procedure of the PetriEye System
Sample Collection
The veterinarian collects a clinical sample (urine, skin and ears samples).
A sterile technique and appropriate container (e.g., test tube or transport medium) are used.
Inoculation onto Agar Plate
The sample is streaked onto a standard Petri dish (e.g., chromogenic agar).
Streaking is done according to protocol to ensure even distribution (e.g., with a loop or swab).
The same plate may also include an antibiogram (AST) using the disk diffusion method with antibiotic discs.
Inserting into the PetriEye Device
The Petri dish is inserted into the incubation chamber of the PetriEye device (a clean, temperature-controlled compartment).
The device detects the plate (via RFID or manual labeling) and initiates the protocol.
Automated Incubation
The PetriEye ensures a constant incubation temperature (e.g., 35–37 °C) for optimal bacterial growth.
During the incubation period (24–36 h), the device automatically captures images of the plate at regular intervals (e.g., every 2 hours).
AI-Based Image Analysis
The captured images are analyzed by the device's AI model:
- Identification of color, shape, and size of colonies.
- Differentiation of species based on chromogenic reactions.
- Measurement of inhibition zones around antibiotics (AST – disk diffusion).
The algorithm compares features to its trained database (tens of thousands of images) and:
- Predicts the most likely bacterial species.
- Determines susceptibility (S/I/R) for each antibiotic.
Results in the App
Once the analysis is complete (within 36 hours), results are available in the mobile or web app:
- Plate image with marked colonies.
- Identified bacteria name.
- Antibiogram (susceptibility per antibiotic).
- Contamination or mixed flora warning if detected.
The veterinarian can add clinical notes and link the result to the animal.
Interpretation and Treatment
Based on the result, the veterinarian can prescribe targeted treatment or decide that no antibiotics are needed.
The result can be saved to the patient record, shared with the farmer, or used for statistical monitoring.
Additional features
Track results over time
(e.g. hard-level overview)
Aggregate data
On most common bacteria and regional resistance trends
Export options
Excel or PDF format
Continuous improvement
The model improves via machine learning with each new case
Contact us
Order a starter kit or request a free demo
info@petrieye.com
