Skills

MICRO, for over 20 years, has been carrying out microbiological analysis:

  • ISO methods;
  • Pharmacopoeia methods c.e.;
  • Client methods;
  • Stability test in a climate chamber for Zone II (25°C – 60% U.R.), Zone IVA (30°C – 65% U.R.) and 40°C – 75% U.R. and for Zone IVB (30°C – 75% U.R.)
  • Challenge Test on raw materials or finished products;
  • Sterility Test;
  • Flow cytometry analysis
  • Genetic identification
  • ISO methods;
  • Pharmacopoeia methods c.e.;
  • Client methods;
  • Stability test in a climate chamber for Zone II (25°C – 60% U.R.), Zone IVA (30°C – 65% U.R.) e 40°C – 75% U.R. and for Zone IVB (30°C – 75% U.R.)
  • Challenge Test on raw materials or finished products;
  • Sterility Test;
  • Flow cytometry analysis
  • Genetic identification

in various product sectors, such as food, nutraceutical, supplements and cosmetics.

In particular, the technicians at MICRO have extensive experience and have developed a highly efficient proprietary method for counting both total and differentiated lactic acid bacteria, as well as high-concentration bifidobacteria, commonly used in the formulation of dietary supplements.  

“Beyond analysis” – our motto. This is truly our strength. MICRO’s foundation and inspiration lie in our constant focus on developing new methods and culture media to continually improve the performance and repeatability of our analyses.

MICRO is the fil rouge that links people, work and research.

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For over 20 years MICRO has continued to innovate!

AI-driven approach to microbiological analysis

Over time, MICRO has developed a specialized culture medium and microbiological technique that allows the counting of different bacterial species on a single plate. 
With the advent of AI on the global scene, MICRO has begun to believe that this area of research could also be applied to microbiology and decided to invest in it. The company is therefore engaged in a cutting-edge research and development project aimed at leveraging AI to accurately and quickly count different bacterial species. 
This project involves two other specialized companies: the first one deals with the development of the computer vision model for semantic segmentation (Dynius), whereas the second one with the development of the web application and final testing of an integrated solution (Kaboom).

“Everyone knew it was impossible,
until a fool who didn’t know came along and did it”

Albert Einstein