Microscopy Conference 2023

Advanced characterization of NP@MOF core-shell complexes using real-time electron tomography

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

IM 1: Progress in instrumentation and ultrafast EM

Optimized segmentation for quantitative 3D analysis of electron tomography reconstructions

IM 5: Quantitative image and diffraction data analysis

Modern (direct electron) detectors and advanced data recording schemes have pushed the level to which images and diffraction patterns can be quantified, thus bringing experimental data closer to the realm of simulations and theory. At the same time, simulation methods are capable of handling larger atomic structures and include more experimental parameters; and also data reconstruction algorithms have advanced in speed, accuracy and flexibility, thus bringing theory closer to experimental reality. This session welcomes contributions that present the state-of-the-art in extracting quantitative insight/knowledge from image and diffraction data, but also advances in simulation tools.

Quantitative image and diffraction data analysis

MS 1: Energy-related materials and catalysts

Ajinkya Anil Kadu

Further involvements