STEMx System: 4D STEM Diffraction System

STEMx System is an efficient tool that has the capacity to add 4D STEM diffraction capabilities to the current Gatan in-situ camera.

The new STEMx^® is a 4D STEM diffraction system that captures data by synchronizing hardware with Gatan’s in-situ cameras. STEMx enables a wide range of 4D STEM experiments, including strain mapping, indexing, orientation mapping, virtual apertures, and differential phase contrast, by utilizing the high spatial and temporal resolution of the K3^® IS, K2^® IS, Stela^TM, OneView^® IS, and Rio^TM IS cameras.

Scan huge sample regions with high diffraction space resolution

Control the existing Gatan in-situ camera for new 4D STEM applications

Analyze initial results in less than 10 minutes

Organize the workflow for advanced applications

Once a diffraction pattern has been produced for each data point, the user can perceive and modify all of the information in a 4D STEM diffraction cube, such as diffraction planes or individual diffraction patterns at each pixel location, using a single, interactive Gatan Microscopy Suite^® (GMS) 3 display.

STEMx can then process these huge datasets within a few minutes by using data size reduction methods such as four-dimensional binning, spatial domain sub-sampling, or choosing a small region of interest. By combining acquisition and analysis in GMS 3, users can not only rapidly analyze and evaluate results under the microscope but also determine whether to change acquisition parameters or acquire a new dataset.

4D STEM diffraction data cube collected using the Stela camera and STEMx system

4D STEM diffraction data cube. A 4D STEM diffraction data cube collected using the Stela camera and STEMx system. Specimen: Au nanoparticles. Scan area: 176 × 218 pixels, Diffraction image size: 256 × 256 pixels. Dwell time: 5 ms. Color map showing grain orientations classified based on the angular position of the maximum diffraction peak per probe position using a DigitalMicrograph script. Image Credit: Gatan Inc.

Differential phase contrast (DPC) maps of pyrochlore oxide specimen calculated from a 4D STEM dataset

DPC maps of pyrochlore oxide specimen. Differential phase contrast (DPC) maps were calculated from a 4D STEM dataset acquired at atomic resolution from a pyrochlore oxide specimen using the GIF Continuum™ K3^® equipped with STEMx and the in-situ option. This energy-filtered 4D dataset included approximately 12,100 diffraction patterns and was collected in electron counting mode in <20 seconds. Image Credit: J. Ciston, H. Brown, S. Hsu, LBNL.

Demonstrating differential phase contrast (DPC) imaging in DigitalMicrograph

Differential Phase Contrast in DigitalMicrograph: Electric Field MeasurementPlay

DPC in DigitalMicrograph. This video demonstrates two methods for differential phase contrast (DPC) imaging in DigitalMicrograph: Virtual Segmented Detector and Center of Mass (CoM). Video Credit: Gatan Inc.

Solving the practical material problem of low voltage electron at high speed by using Stela

Utilization of low voltage electron diffraction at high speed to solve practical materials problemsPlay

Utilization of low voltage electron diffraction at high speed to solve practical materials problems. This webinar shows examples of low-voltage, high-speed electron diffraction experiments using the Gatan Stela, a detector with a high-dynamic range, based on DECTRIS’ fast hybrid-pixel technology, to study subtle structural changes. Video Credit: Gatan Inc.

A presentation of Stela Hybrid Pixel Electron Detector for 4D STEM Diffraction

Live Virtual Workshop: Stela Hybrid Pixel Electron Detector for 4D STEM DiffractionPlay

Live Virtual Workshop: Stela Hybrid Pixel Electron Detector for 4D STEM Diffraction. This comprehensive workshop features a presentation, a live microscope demonstration (including 4D STEM data acquisition and processing), and an open Q&A session. Video Credit: Gatan Inc.

NUANCE Workshop on 4D STEM: Data Processing using Python

NUANCE Workshop on 4D STEM: Data Processing using PythonPlay

NUANCE Workshop on 4D STEM: Data Processing using Python. Webinar is based on demonstrating of 4D STEM by using data processing strategies such as HyperSpy, Pyroscopy, LiberTEM, and many more with the help of steps in management which included 1. Bining 2. Cropping 3. Counting, by Stephaine Ribet from the Department of Material Science and Engineering, Northwestern University.Video Credit: Gatan Inc.

NUANCE Workshop on 4D STEM: Data Processing in DM

NUANCE Workshop on 4D STEM: Data Processing in DMPlay

NUANCE Workshop on 4D STEM: Data Processing in DM. The workshop has included depicting the 4D STEM data processing in DM which has assisted in its applications including strain mapping, virtual apertures, DPC, and many more. A brief demonstration by Anahita Pakzad.Video Credit: Gatan Inc.

NUANCE Workshop on 4D STEM: Fundamentals of Electron Diffraction and 4D STEM

NUANCE Workshop on 4D STEM: Fundamentals of Electron Diffraction and 4D STEMPlay

NUANCE Workshop on 4D STEM: Fundamentals of Electron Diffraction and 4D STEM. The workshop is dedicated to illustrating the fundamentals of electron diffraction and 4D STEM by categorizing into three parts i.e. introduction to CBED, 4D STEM, application in soft/hard interfaces and soft material by Roberto dos Reis.Video Credit: Gatan Inc.

Demonstrating Stain Mapping

Strain Mapping with STEMxPlay

Strain mapping. Here, we show how to calculate specimen strain from a 4D STEM nanobeam diffraction dataset in the DigitalMicrograph software. Video Credit: Gatan Inc.

Elaborating the steps involved in DIFPack tools

Using DIFPack Tools for STEMx DatasetsPlay

DIFPack Tools. Here we show how to use DIFPack tools to analyze 2D diffraction patterns and 4D STEM diffraction data cubes. Video Credit: Gatan Inc.