⚡ Problem:
– Precise identification of various microorganism types from Petri dishes.
– Numerous similarities among different classes of microorganisms.
– No pre-existing solutions were available on the market for such tasks.
For our Client, a Human Stem Cells Lab, the objective was to achieve precise identification of various microorganism types from images of Petri dishes.
No pre-existing solutions were available on the market for such tasks. Consequently, the model needed to be developed from scratch.
The primary challenge was from the numerous similarities among different classes of microorganisms. It was imperative to achieve intelligent recognition to ensure the accurate identification and documentation of various colony types.
The neural network that we created was able to fully achieve this task and provided precise recognition of the types and the colony counts.
