eaSI™ technology delivers the most efficient and effective workflow for your advanced STEM experiments.
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:
- X-rays (EDS)
- Light (Cathodoluminescence)
- Secondary electrons (DigiScan 3)
- In-elastically scattered electrons (EELS)
- Elastically scattered electrons (4D STEM)
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 gather the maximum possible information automatically.
eaSI, exclusively from Gatan, is the only solution that allows spectrum imaging experiments to leverage the most advanced electron detectors and STEM SI workflows in DigitalMicrograph® software. Combining detailed analytical information with high spatial resolution is the most powerful aspect of STEM, and eaSI helps you realize this in the most effective and efficient way.
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, this requires a combination of multiple methods and complementary signals from various detectors (STEM imaging, EELS, EDS, and 4D STEM). The challenge is ensuring that signals collected on different detectors are spatially linked and temporally synchronized. eaSI makes this possible in the most efficient and effective way.
- eaSI combines multiple STEM techniques
- eaSI synchronizes all STEM detector signals seamlessly
- eaSI links STEM datasets
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. In conventional systems, this experiment is challenging since it requires more than one analytical technique (EELS, EDS, and 4D STEM) and often requires a heroic manual effort to record spatial and temporal evolutions within a sample.
Throughout this experiment, eaSI uses a single computer and software interface to automatically combine and link spatial and temporal datasets 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. Using the linked EELS and 4D STEM data, 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.
|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.||Spatially 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, utilizes 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|
- Multimodal spectrum imaging at low kV with GIF Continuum K3 with Stela
- Spectrum Image Dynamic Map Tool
- Spectrum Imaging Picker and Slice Tool
- Extract line profile from spectrum image
- Multivariate Statistical Analysis
- GIF Continuum: Multisignal Spectrum Imaging Part 3 of 3
- GIF Continuum: Multisignal Spectrum Imaging Part 2 of 3
- GIF Continuum: Multisignal Spectrum Imaging, Part 1 of 3
- EELS Quantification: Using Concurrent Standards
- EELS Quantification: Using Internal Standards
- Nanocathodoluminescence reveals the optical properties of III-nitride light emitting diodes
- Chemical and compositional analysis of 3D NAND and FinFET devices
- Colorized EELS elemental map
eaSI 4D STEM Applications