The University of Applied Sciences, Jena has received a Federal Ministry of Education and Research (BMBF) grant for €799,558 to establish an Open Lab Framework for an AI-based interdomain OCT-Data analysis. The principal investigators are Prof. Dr. Dirk Schmalzried, Prof. Dr. Jens Bliedtner and Prof. Dr. Iwan Schie.

 Within the project 'OpenLab AI - OpenLab for Data Analysis and Applied AI' a cross-domain framework for the analysis and processing of optical tomographic image data will be developed, which can be used cross-domain for the investigation of material surfaces in the domain of manufacturing and quality assurance as well as in the domain of medicine, e.g. for investigations of skin and retina data. This framework is intended to be a basis for an interdisciplinary teaching in data competencies in almost all faculties of the University of Applied Science Jena. Through cooperation and networking with local industry (Carl-Zeiss Meditec), research institutes (Leibniz Institute of Photonic Technology, Jena), clinics (SRH Wald-Klinikum Gera), as well as local partner in science and translation (InfectoGnostics Campus, Medways, and SpectroNet) anonymized data sets will be made available as a basis for the training of young scientists and for scientific work as a result of the project.

 The project will transfer data processing approaches established in medical OCT-data analysis to OCT-data of cracks and surface damage of glasses. This interdisciplinary translation can directly address the upcoming problems of data analysis and automation in material processing and quality control. At the same time, model generation in biomedical imaging, through the uses of cross-domain data for specific analytical applications, e.g. SNR and resolution enhancement, will benefit from the cross-disciplinary approach. Thus, a framework for data processing and analysis of OCT image data will be developed that, as a result, can be used in optics manufacturing processes as well as in biomedical diagnostics and analysis.