Imaging Atomic-Scale Chemistry from Fused Multi-Modal Electron Microscopy

Abstract

Efforts to map atomic-scale chemistry at low doses with minimal noise using electron microscopes are fundamentally limited by inelastic interactions. Here, fused multi-modal electron microscopy offers high signal-to-noise ratio (SNR) recovery of material chemistry at nano- and atomic- resolution by coupling correlated information encoded within both elastic scattering (high-angle annular dark field (HAADF)) and inelastic spectroscopic signals (electron energy loss (EELS) or energy-dispersive x-ray (EDX)). By linking these simultaneously acquired signals, or modalities, the chemical distribution within nanomaterials can be imaged at significantly lower doses with existing detector hardware. In many cases, the dose requirements can be reduced by over one order of magnitude. This high SNR recovery of chemistry is tested against simulated and experimental atomic resolution data of heterogeneous nanomaterials.

References in corpus (4)

• Deciphering chemical order/disorder and material properties at the single-atom level
• Comparison of optimal performance at 300 keV of three direct electron detectors for use in low dose electron microscopy
• A proximal iteration for deconvolving Poisson noisy images using sparse representations
• Channeling of a sub-angstrom electron beam in a crystal mapped to two-dimensional molecular orbitals

Cited by in corpus (5)

• Deep Learning for Automated Experimentation in Scanning Transmission Electron Microscopy
• Imaging 3D Chemistry at 1 nm Resolution with Fused Multi-Modal Electron Tomography
• Mind the Gap: Bridging the Divide Between AI Aspirations and the Reality of Autonomous Characterization
• Imaging Nanoscale Carrier, Thermal, and Structural Dynamics with Time-Resolved and Ultrafast Electron Energy-Loss Spectroscopy
• Revealing the Evolution of Order in Materials Microstructures Using Multi-Modal Computer Vision