Project “Development of a new method for detection and identifying bacterial colonies using artificial neural networks and Machine Learning algorithms” is co-financed from European Union funds under the European Regional Development Funds as part of the Smart Growth Operational Programme.
Project implemented as part of the National Centre for Research and Development: Fast Track.
Smart Growth Operational Programme
1.1. R+D projects
European Regional Development Fund
2014 – 2020
About the project
The aim of the project is to develop a new method for detection and identifying bacterial colonies using artificial neural networks and Machine Learning algorithms. The goal is to automate the analysis of bacterial culture colonies on Petri dishes, in particular, the classification of the type of sown bacteria and counting the number of bacterial colonies. The algorithms will be based on deep learning methods which, according to current scientific knowledge, are best suited for the recognition of images and can be used to identify the key morphological features of bacterial colonies. In cooperation with a microbiology expert, a training database will be prepared to match the parameters of artificial neural networks. The database will contain carefully described photos of Petri dishes, on which bacterial strains were sown, and which can be used in the supervised learning process. Additional information about the samples will be provided by spectral analysis and a three-dimensional map of vertices made by the laser scanning method. The final product will be specialized software for the analysis of bacterial cultures.
Name of the beneficiary
2 437 811,10 zł
Co-financing from the EU
1 850 331,93 zł