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Webinars - X-ray Computed Tomography for Materials & Life Science

X-ray Computed Tomography for Materials Science 1: Introduction

An introduction to the X-ray computed tomography (CT) technique. Designed to show how X-ray CT works and how it can be applied to scientific research. It will include an introduction to the technique, instrumentation and application examples.
Date/time (CST)
Presenter
Aya Takase

X-ray Computed Tomography for Materials Science 2: Data Analysis

An overview of X-ray CT data analysis techniques starting with basic image processing and leading to traditional segmentation, machine learning based segmentation and quantitative analysis. A number of commonly used data analysis and visualization programs will be discussed and demonstrated to help beginners to get an idea of where to start and select the right analysis tool for their needs
Date/time (CST)
Presenter
Aya Takase

X-ray Computed Tomography for Materials Science 3: Food and Pharmaceutical Applications

A number of X-ray CT application examples in the food and pharmaceutical industries will be discussed. Examples to include the analyses of cracks and aggregation inside tablets, tablet and drug particle coating thicknesses, air pocket size distributions in food and sugar coating thicknesses of candies.
Date/time (CST)
Presenter
Aya Takase

X-ray Computed Tomography for Materials Science 4: Foams and Composites Applications

A number of X-ray CT application examples of foams and composite materials will be discussed. Examples to include the analysis of foam porosity, cell size, and cell wall thicknesses as well as void distribution and fiber orientation in composite materials.
Date/time (CST)
Presenter
Aya Takase

X-ray Computed Tomography for Materials & Life Science 5: Plant Science Applications

A number of X-ray CT application examples for plants and seeds will be discussed. Examples to include the non-destructive characterization of plant traits for ripening fruit, seeds and root systems. Additionally, analysis of cell wall thicknesses and void distribution among different seed varieties will be presented.
Date/time (CST)
Presenter
Angela Criswell