RESEARCH PROJECT IN MICROSCOPY: AUTOMATED MICROSCOPY SYSTEM FOR MICROBIOLOGY

RESEARCH PROJECT IN MICROSCOPY: AUTOMATED MICROSCOPY SYSTEM FOR MICROBIOLOGY

Project background:

To develop an automated fluorescence microscopy system capable of independently and consistently quantifying and classifying bacteria in water samples on microscopy slides.

Biggest challenges: To develop a methodology for describing dataset, as every manual process involves a human subjective factor, and each laboratory technician may count a different number of bacteria in the same sample.

Solution:

As part of the research project, Apply is developing a high-performance microscope and automated microscopy system that can more accurately identify and classify bacteria. Computer vision and artificial intelligence solutions were used, and neural network models were trained for this solution.

Key benefits:

• The system reduces analysis time;
• Higher reliability and repeatability of results;
• Reduces the physical strain on laboratory workers.