eaSI Spectrum Imaging

STEM experiments combined, synced, and linked

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Overview: 

eaSI: STEM experiments combined, synced, and linked.

Examples of eaSI                              Advantages of eaSI


WHAT IS STEM SPECTRUM IMAGING?

In scanning transmission electron microscopy (STEM), the electron beam is focused on a fine spot, varying from a few nanometers down to nearly atomic dimensions, on an electron-transparent specimen. As electrons interact with the specimen and scatter, diverse analytical signals are produced: TEM signalsAs electrons interact with the specimen and then scatter, generating different types of analytical signals:

SI acquisition in DigitalMicrographYou can then record a spatially resolved distribution of one-dimensional (1D) spectra or two-dimensional (2D) diffraction images in scanning mode to build 2D, 3D, or 4D datasets that unveil remarkable details in the specimen. This technique, known as spectrum imaging (SI), systematically probes a defined specimen area (multiple points, line scan, or a 2D array) to automatically collect the maximum possible information.

What is Spectrum Imaging

WHAT IS eaSI

Analyzing a specimen with a single STEM technique is often insufficient to fully understand the system and explain/predict the material properties/behavior. As a result, in most STEM experiments, multiple complementary signals from various detectors can be recorded (STEM imaging, EELS, EDS, and 4D STEM). In this case, the challenge is ensuring that data streams collected on different detectors are spatially and temporally correlated and analysis workflows for such correlated data are not complex. eaSI makes this possible.

Combine: Spatial correlation between data streams

Combine: Spatial correlation between data streams

Sync: Temporal correlation between data streams

Sync: Temporal correlation between data streams

Link: Common tools for analysis of correlated data

Link: Common tools for analysis of correlated data

 

EXAMPLES of eaSI

In this dataset, a fully automated multimodal in-situ heating experiment captures the reduction of copper oxide to metallic copper. This irreversible thermal decomposition involves simultaneous microstructural, crystallographic, and chemical changes. This experiment is challenging in conventional systems since it requires multiple analytical techniques (EELS, EDS, and 4D STEM). Recording spatial and temporal evolutions within a sample often requires heroic manual effort.

eaSI uses a single computer and software interface throughout this experiment to automatically combine (spatially) and synchronize (temporally) signals from different detectors. Compared to a manual experiment, eaSI automation improves temperature resolution by 25x, TEM-user productivity by 300x, and eliminates unavoidable inaccuracies associated with human error.

Multimodal experiment data

Once a multimodal dataset collection is complete, it must be analyzed and processed. The below results demonstrate how eaSI enables users to examine true spatially correlated chemical (EELS) and crystallography (4D STEM) data collected as a part of a single STEM experiment within DigitalMicrograph software. eaSI links STEM datasets and provides common tools for analysis of the correlated EELS and 4D STEM data. Here, 4D STEM virtual aperture analysis was first performed to identify distinct crystallites in gadolinium-treated carbon nanohorns. Then, EELS spectra from the exact same crystallites were analyzed to confirm that both gadolinium and oxygen were present in these areas.

ADVANTAGES OF eaSI

Capability Advantage
Right tools for multimodal STEM studies Encompasses the broadest range of STEM-optimized EELS, EDS, and 4D STEM detectors to propel your studies forward
It brings a new dimension to your research Allows you to observe dynamics in-situ within your 3D EELS, EDS, and 4D STEM datasets so you can better understand nanomaterials and devices in real time and under real-world conditions
Seamlessly links multimodal and dimensional data Links 3D, 4D, and even 5D SI data within DigitalMicrograph so you can visualize novel chemical–, compositional–, morphological–, and structure-function information in your materials and devices with a greater degree of confidence 
            Shortens the time to meaningful results (set up, acquisition, and processing)  Regardless of your level of expertise, utilize the most efficient workflows within a single DigitalMicrograph interface to deliver multidimensional and correlative results within minutes.    
Ensures no compromise between speed and functionality   Leverages the leading DigitalMicrograph STEM SI technique to coordinate complex transitions and eliminate downtime between modes while maintaining the high precision you expect in a standalone experiment 
It makes the impossible possible    Utilizes scripting to easily expand workflows to address more complex studies and diminish the need for hero experiments   

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Applications

Achieving ~1 Å resolution in Tb3Sc2Al3O12 STEM EELS mapping with GIF Continuum K3

Achieving ~1 Å resolution in Tb3Sc2Al3O12 STEM EELS mapping with GIF Continuum K3

The characterization of beam-induced phase changes with in-situ EELS

The characterization of beam-induced phase changes with in-situ EELS

K3 IS camera for electron ptychography: Mapping oxygen in SrTiO3

K3 IS camera for electron ptychography: Mapping oxygen in SrTiO3

Complete multielement composition analysis with simultaneously collected EDS and EELS

Complete multielement composition analysis with simultaneously collected EDS and EELS

Live EDS mapping in DigitalMicrograph with Elite T Super

Live EDS mapping in DigitalMicrograph with Elite T Super

NBED strain measurements enhanced via energy-filtered 4D STEM

NBED strain measurements enhanced via energy-filtered 4D STEM

eaSI 4D STEM Applications

Corresponding CBED patterns acquired with a semi-convergence angle of 2.5 mrad and 0.7 mrad, respectively

The effect of convergence angle on strain measurement precision

   

Acquiring counted electron diffraction data without a beam stop

Acquiring counted electron diffraction data without a beam stop with Gatan electron counting direct detectors

Acquiring counted 4D STEM with the Metro camera

Acquiring counted 4D STEM with the Metro camera

High throughput differential phase contrast (DPC) imaging of Si-MoS2 core-shell structure

High throughput differential phase contrast (DPC) imaging of Si-MoS2 core-shell structure

Electric field mapping in 2D heterostructures using differential phase contrast

Electric field mapping in 2D heterostructures using differential phase contrast

Magnetite nanoparticle orientation mapping from a 4D STEM dataset

Magnetite nanoparticle orientation mapping from a 4D STEM dataset

Electron counting 4D STEM studies of human tooth enamel

Electron counting 4D STEM studies of human tooth enamel

Virtual (BF/DF) imaging reveals the position and concentration of precipitates in a Ni-W alloy

Virtual (BF/DF) imaging reveals the position and concentration of precipitates in a Ni-W alloy

 

 

 

eaSI EELS Applications

Detecting weak core-loss signals with dose-fractionated spectrum imaging

Detecting weak core-loss signals with dose-fractionated spectrum imaging

Phase mapping of dose-sensitive polymers using multipass in-situ spectrum imaging

Phase mapping of dose-sensitive polymers using multipass in-situ spectrum imaging

Dose fractionation using multi-pass in-situ spectrum imaging

Dose fractionation using multi-pass in-situ spectrum imaging

High-Speed Composition and Chemical Analysis of Nanoelectronic Materials with GIF Continuum

High-speed composition and chemical analysis of nanoelectronic materials with GIF Continuum

Using EELS to reveal ferric iron content from a Chang’e-5 lunar surface sample

Using EELS to reveal ferric iron content from a Chang’e-5 lunar surface sample

 
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