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.


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.