Microscopy Conference 2023

Integration of multi modality image data in structural lung research

Modern microscopes are capable of quickly producing terabytes of multidimensional and multimodal data in form of (correlated) images, spectra, diffraction patterns. While managing and (online) processing such large amounts of data may require some investment in computer hard- and software, the even bigger challenge lies in the effective utilization of such data, often in an international team. Ultimately, the paradigm of FAIR (findable, accessible, interoperable, and re-purposable) data aims at data re-utilization by others, potentially with completely different research questions in mind. 
This session welcomes contributions describing solutions that enable handling and processing of big data in microscopy, but also solutions that make microscopy data FAIR.  An important aspect here, is the (automated) annotation of the experimental data by relevant metadata that is both human and machine readable. In addition, this session shall provide room for the demonstration of examples where FAIR research data management helps to lower the threshold for sharing data with collaborators and the scientific community and as such enabling synergistic combining of data from various sources or techniques. 


Christian Dullin

Invited speaker