Biotechnology

One of the examples of what we do at Flyps is the analysis of microscopic photos of microorganisms to count them, categorise and describe subspecies. The processing pipeline consists of two stages based on artificial neural networks. First, it detects microorganisms and then segments their bodies to determine their surface on the image. To fully grasp it, it's necessary to overexpose the image on a molecular level with support from other fields such as physics, mathematics, technology and more.
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Flyps achieved a 95% recognition level accuracy and increased the high-resolution photo analyse time from 30 sec to 2 sec.
We surpass the problems like:

• Recognition of the diversity of appearance of organisms from the same group 
• Poor quality and focus of photographs taken by the microscope
• The delineation between cells that are either clustered or just dividing
• The similarity in appearance of different organisms on the microscopic image.
  
  

Often, even humans are not able to distinguish them correctly.

We can observe biotechnology's role in medicine or food production, and it even takes part in biofuel production. We can simplify those actions to improve the quality of daily life everywhere.

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