IM-03:
Progress in atomic resolution 3D phase-contrast imaging
using 4D-STEM
Teaser:
Computational microscopy allows us to overcome limits imposed by imaging hardware. In this talk, I will present several milestones in overcoming the limits of electron microscopy of light-element contrast and depth of field at atomic resolution, allowing us to solve atomic structures in ever-increasing volumes with atomic resolution.
IM-05:
Electron and x-ray spectroscopy for real-space electronic structure
mapping in superconducting nickelates
Teaser:
Core-level spectroscopy is a powerful tool across myriad fields of materials research due to the access it provides to quantitative measurements of charge distribution, electronic structure, and bonding. Here I will highlight two advanced spectroscopies which add a further component of real-space mapping: STEM-EELS to localize at the atomic scale and sNIXS to directly resolve charge density distribution.
IM-07:
Quantifying nanoscale diffusion phenomena using in situ TEM
Teaser:
Join us as we delve into the world of quantitative diffusion studies using chip-based in situ heating in TEM.
We will unravel the intricate dynamics of surface diffusion driven dewetting and follow the random walks of individual impurity atoms inside a crystal at atomic resolution.
IM-09:
Nano-chemical Imaging and Spectroscopy at the Single-molecule Level
Teaser:
The Ruggeri Lab develop and apply nanoscopic microscopy and spectroscopic technologies to study
biomolecular process in life and disease at the single molecule scale, as well as characterising advanced functional surfaces and materials.
IM-10:
Coupling Machine Learning with Electron Videography to Study Nanoscale Dynamics and Three-Dimensional Heterogeneity.
Teaser:
I will discuss our efforts in developing various machine-learning based imaging and data collection methods to facilitate the characterization of complex nanomaterials using liquid-phase TEM, electron tomography, and these two combined.
IM-12:
Enabling discovery by in-cell structural biology
Teaser:
Technological breakthroughs in cryo-electron tomography unlock an enormous potential for system-spanning discovery in structural cell biology
IM-13:
Array tomography enables correlative volume electron microscopy and spatial transcriptomics”
Teaser:
Among all volume electron microscopy (EM) approaches, Array Tomography (AT) provides the unique advantage of tissue section restoration. This enables sample reinspection - an ideal feature for correlative and multimodal approaches. Here we present novel AT workflows that combine volume scanning EM with spatial transcriptomics and electron tomography and show their application in neurobiology.
IM-14:
Near isotropic, high-resolution multi-beam scanning transmission electron microscopy with iterative milling
Teaser:
Multi-beam scanning transmission electron microscopy (mSTEM) of broad ion beam (BIB)
milled 250 nm thick sections is a fast and reliable vEM method suitable for the acquisition of mm³-sized samples.
It produces near isotropic, high-resolution stacks of each section by deconvolution of series of iteratively BIB-milled mSTEM images.
IM-18:
Revealing the molecular architecture of the cell using Ultrastructure Expansion Microscopy (U-ExM)
Teaser:
Expansion microscopy is a recently developed technique that physically magnifies biological samples, enabling super-resolution visualisation of cells using a standard microscope. Here I will present the latest optimisations in this field, aimed at preserving cell ultrastructure in an optimal manner and revealing the cellular context previously invisible under fluorescence microscopy. To demonstrate the effectiveness of expansion microscopy, I will present various applications ranging from elucidating the architecture of the centriole to exploring its potential in gene therapy treatments.
IM-16:
Precise targeting for volume electron microscopy, a multimodal approach.
Teaser:
This talk will describe the targeting methods that are developed at EMBL. They rely on 3D maps built from fluorescence microscopy or X-ray imaging, and on specific workflows to accurately and semi-automatically approach the regions of interest prior to EM imaging. Example applications will show how to image selected regions of interest in multiple specimens including model and non-model organisms.
