Microscopy Conference 2023

Microscopy escorting the process from polymer synthesis to membranes fabrication

MS 5: Functional organic materials

The revival of polymers, organic molecular/carbon-rich materials and composites thereof is not only due to the development of high-efficiency (semi)conductors and their enhanced environmental stability. Basic reactants appear unlimited prospectively yielding sustainable products at globally needed amounts. Those materials already contribute to the global energy revolution and facilitate a vast variety of applications such as energy conversion/storage, (flexible) printed electronics, catalysis, rapid prototyping, lightweight construction as well as drug delivery. The serious issue of microplastics in the environment needs to be addressed, e.g., by means of biodegradable material design.
This session will cover novel micro- and nanocharacterization techniques (like 4D-STEM, UHR-EELS, cryo-EM, X-ray micro-spectroscopy, fluorescence OM) and modern sample preparation (like plasma-FIB cross-sectioning, (cryo-)ultramicrotomy, plunge freezing) to investigate individual materials (molecules, thin films, particles, fibers), composites and complex devices for understanding structure formation, function, and degradation. It includes modern in situ methodology stressing strategies to minimize electron-beam induced alterations.


Functional organic materials

Abstract talk

Electronic lab notebooks compiling big datasets for machine learning analysis

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. 


Martin Held

Vortrag

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