Microview: a medical application focusing on the diagnosis of diseases

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1 Department of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
2 Department of Computer Engineering, Technological Educational Institute of Thessaly, Larissa, Greece
3 Department of Medicine, Division of Microbiology, University of Thessaly, Larissa, Greece
DOI
10.7287/peerj.preprints.1096v1
Published
Accepted
Subject Areas
Bioinformatics, Microbiology, Infectious Diseases, Science and Medical Education
Keywords
Health, Mobility, Medical, App
Copyright
© 2015 Michopoulos et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
Cite this article
Michopoulos A, Ntakakis G, Zamanis S, Petinaki E. 2015. Microview: a medical application focusing on the diagnosis of diseases. PeerJ PrePrints 3:e1096v1

Abstract

MicroView was made to make the connection between medicine and mobile technology reality, in order to achieve that we transform the widely used mobile devices (smartphones, tablets) into diagnostic tools. MicroView is a medical application that focuses on the diagnosis of diseases whose causes or results can be detected in biological fluids such as CSF, urine and blood. The diagnosis is achieved by innovative image processing algorithms that detect the presence and the number of the white blood cells in the biological sample. The app has been tested in 37 urine and 23 CSF samples. The accuracy of the app was 92%. In conclusion the app offers a quicker, easier and friendlier diagnosis to young scientists but also experienced professionals can be benefit from it, since all images are in electronic form and can provide a way of result confirmation.

Author Comment

This is an abstract which has been accepted for the 2nd International Conference on Medical Education Informatics.