Success case
Automatic detection of
bacteria presence, type, and growth
The challenge
An industrial sector company, specialized in laboratory instrumentation, has a product line focused on the treatment of bacteria and the study of their antibiotic resistance.
Objectives
To improve the efficiency in the analysis of bacteria in Petri dishes, the specific objectives are:
– Identifying the presence or absence of bacteria.
– Identifying the type or strain of bacteria.
– Estimating the growth (or lack thereof) of bacterial colonies.
How have we done it?
- Image Classification
- Semantic Segmentation
- Video Processing
- CFU counting
- Unet
- Transfer Learning
- Deep Learning
Results provided
Improvement of efficiency and automation in the work of laboratory experts and enhancement of early event detection.