Abstract
The analysis of blood is one of the best possibilities to diagnose and control diseases and deficiency symptoms. Common blood tests that are performed in medical laboratories are time-consuming and work-intensive. In under-developed areas, there is often also a lack of specialised staff and facilities. The development of a mobile microscopic system that contains an automated image analysis and that can be used via a smartphone, could represent a valuable help to improve the diagnostic care, especially in those areas. it aims to enable a very fast, cheap, location- and knowledge-independent application for many use cases.
Highlights
Microscopy was already developed in the late 16th century and was initially more for wealthy peoples leisure than science
As “Molecular Biotechnology and Functional Genomics” research group on automated microscopy and image analysis, we developed an automated recognition system of phytoplankton species for the evaluation of freshwaters trophic levels (Schulze et al, 2013)
The company reached that goal by providing a mobile microscopy solution and custom image recognition software for different biological samples
Summary
Microscopy was already developed in the late 16th century and was initially more for wealthy peoples leisure than science. A microscopic analysis requires expensive devices and trained specialists. The requirement of a mobile and affordable microscopic system that enables image analysis “in the field” was an obvious observation from this project. Based on these results the company Oculyze[1] was founded with the objective to develop such a system and enable everyone to be a microscopy specialist with the support of machine learning analysis algorithms.
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