Microscopy Conference 2023

Automation of TEM alignment using python scripting

Workshop 1: Data management

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. 


Data management 

Abstract talk

IM 1: Progress in instrumentation and ultrafast EM

Optimum BF (OBF) STEM using the SAAF detector

IM 6: Phase-related techniques & 4D STEM

Poster session IM 6: Phase-related techniques & 4D STEM

Poster

LS 4: Image analysis of large data sets

chromium

Workshop

Advanced tools and techniques for battery research and renewables – Including JEOL‘s reinvented focus ion beam system

Philipp Wachsmuth

Speaker

Further involvements