"Photonic Data Science: from spatial and spectral patterns to information and knowledge”(PD Dr. Thomas Bocklitz)

Datum: 20.10.2023
Uhrzeit: 11:15
Vortragende(r): PD Dr. Thomas Bocklitz
Abbe Center of Photonics
Ort: Max Planck Institute of Quantum Optics
Raum: Herbert Walther Lecture Hall
Gastgeber: IMPRS-APS

Photonics is increasingly being used in various disciplines such as biology, medicine and diagnostics. This increase in applications is driven by improvements in experimental setups, but also by the development of data science methods in the context of photonic data. These data science methods enable the detection and extraction of biomedical information from subtle differences in biophotonic data. This information can be as diverse as predicting tissue types, disease states, or certain characteristics of organisms such as eukaryotic cells or bacteria.

To realise the full potential of bio-photonic data, the entire data life cycle of photonic data, from data generation to data analysis and archiving, must be investigated in a holistic manner. Important points within the data life cycle are experimental design, sample size planning, data pre-treatment solving inverse models of the measurement process, data pre-processing, chemometric and machine learning methods for data analysis, model transfer methods and transfer learning. All these procedures and methods are combined in a data pipeline that standardises the data and extracts reliable information from the data.
We will present our recent studies aimed at building these data pipelines for biophotonic data, focusing on biomedical Raman spectroscopy. In addition to this main focus, we will also discuss image-based data pipelines and data fusion approaches to enhance the information content.

Thomas Bocklitz^1,2

Institute of Computer Science, Faculty of Mathematics, Physics & Computer Science, University Bayreuth Universitaetsstraße 30, 95447 Bayreuth, Germany
Leibniz Institute of Photonic Technology (IPHT), Member of Leibniz research Alliance ‘Health Technologies’, Jena, Germany
Institute of Physical Chemistry and Abbe Center of Photonics (IPC), University of Jena, Jena, Germany

Zoom link (if everything works as expected): https://lmu-munich.zoom-x.de/j/93486024343?pwd=QXB6MHVNRGpyZHJyV29OclpzSGJPQT09 (Meeting ID: 934 8602 4343, Passcode: 103823)