Webinar

The versatile K3 IS direct detection camera is allowing for in-situ characterization of material reactions with high ease-of-use and unhindered switching between low-dose and high-speed imaging. The large field of view with the K3 IS camera has enabled investigations on nanoparticle transformations and dynamics at temperature within the environmental TEM, lithiation of battery anodes, and 4D STEM strain mapping of nanowires post in-situ testing.

Electron energy-loss spectrum imaging is well established as a powerful tool for materials analysis. The wealth of information available beyond simple composition, coupled with high signal collection efficiency in next-generation imaging filters makes this technique particularly advantageous for advanced analysis and mapping.

Least-squares fitting by multiple linear least squares and non-linear least squares fitting is a core workflow for advanced analytical data processing in Gatan Microscopy Suite^® (GMS) software. A number of key features have been added to the linear least-squares fitting toolset in GMS such as non-negative reference fitting, live fitting, single click map computation, and an expansive list of supported function models for non-linear mode.

DigitalMicrograph^®, or Gatan Microscopy Suite^® (GMS), has become an industry-standard software tool in electron microscopy due to its ability to perform advanced: hardware control, data visualization, and data processing, both on and off-line. Scripting capability has always been included in the software, giving a high degree of customizability for users wanting to perform novel acquisition or processing methods. Python integration has now been built into GMS 3, enabling Python code to be run directly from the existing scripting interface.

Built on the existing model-based EELS quantification framework, ELNES phase mapping allows pre-acquired reference spectra (or standards) to be used for quantification in addition to the existing set of calculated cross-section models.

This webinar focuses on the importance of CL data analysis, which may include spatial, spectral, and angular information, or any combination thereof. The importance of data analysis of such CL data can be nearly as important as data acquisition and can reveal many interesting characteristics of a specimen including the influence of constituent concentration and distribution, defect density, plasmonic or photonic modes, and more. During this webinar, analysis of data drawn from various specimens is performed, their results discussed, and the benefits of such analysis demonstrated.

In this webinar, we covered many examples of usage of direct detection cameras at Northwestern University, from the imaging of soft materials to special applications of 4D STEM in hybrid interfaces. In particular, we covered the performance of the new Gatan K3 IS, which allows the acquisition of in-situ imaging and 4D STEM data in counted mode with high temporal resolution.

PRESENTER: Roberto dos Reis, Ph.D.
Department of Materials Science and Engineering, Northwestern University

In this webinar, we will review the different hardware and analysis modes available in CL detectors, discussing the benefits and drawbacks of each when analyzing geoscience specimens.

In this webinar, the second in our series on Cathodoluminescence, we discuss how simultaneous measurement of wavelength and direction can be used to reveal the light extraction and color rendering of a display device (in this case micro-LED array) as a function of viewing angle.