eaSI Spectrum Imaging

STEM experiments combined, synced, and linked

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Overview: 

eaSI: STEM experiments combined, synced, and linked.

eaSI                             Examples of eaSI                              Benefits of eaSI

What is STEM spectrum imaging?

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

You 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 reveal unique details in the specimen. This technique is known as spectrum imaging (SI), which systematically probes a defined specimen area (multiple points, line scan, or a 2D array) to automatically gather the maximum possible information.

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

Sync: Temporal correlation between data streams

Link: Common tools for analysis of correlated data

 

Examples of how eaSI works

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). It often requires a heroic manual effort to record spatial and temporal evolutions within a sample. 

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. 

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.

Benefits

Right tools for multimodal STEM studies Encompasses the broadest range of STEM-optimized EELS, EDS, and 4D STEM detectors to propel your studies forward
Brings a new dimension to your research Allows you to observe dynamics in situ within your three-dimensional (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 
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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