The research department investigates the entire data life cycle of photonic data, which extends from data generation to evaluation and archiving. The data life cycle is considered in a holistic approach and methods and algorithms for experiment planning, sample size planning, data pretreatment and data standardization are investigated. These methods are combined with chemometric methods, model transfer techniques and artificial intelligence methods in a data pipeline. This holistic approach makes it possible to use data from various photonic methods for analysis, diagnostics and therapy in various fields of application, e.g. medicine, the life and environmental sciences and pharmacy.
Further focal points of the research department are the data fusion of different heterogeneous data sources, the simulation of different measurement procedures in order to optimize correction procedures, methods for the interpretation of analysis models and the construction of data infrastructures for different photonic measurement data, which guarantee the FAIR principles.
The work of the working group provides the basis for the application of new photonic methods for bio-medical questions. The evaluation methods are not only developed, researched and improved, but these evaluation methods are also tested in the application context, such as clinical studies.