Users of the LPI should be able to draw on state-of-the-art analysis methods for the evaluation of diagnostic data sets when developing their own solutions. Within the framework of the project coordinated by Friedrich Schiller University Jena, methods based on artificial intelligence, machine learning and deep learning methods are being developed for this purpose. Leibniz-IPHT focuses on the creation of data infrastructures for photonic, molecular, genomic and biochemical data that ensure both data security and data protection while maintaining data reusability in accordance with the FAIR principle. Case number and experiment planning procedures will be developed to accommodate sufficiently standardized data.

The project is funded by the BMBF and supervised by the VDI Technology Center under the number 13N15708.