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Computed tomography

The June 2019 edition of The Bridge, the Materials Science newsletter from Rigaku, is now online

2019-06-28

Issue 72 of The Bridge newsletter from Rigaku focuses on materials science and is available from the company’s website

June 28, 2019 – The Woodlands, Texas. The June 2019 edition of The Bridge, the materials science newsletter from Rigaku Corporation, is now available online on the company’s

University of Delaware Advanced Materials Characterization Laboratory acquires two Rigaku X-ray imaging systems

2019-04-09

New laboratory will host two Rigaku computed tomography (CT) systems: CT Lab GX 130 micro-CT system and nano3DX nano-CT system.

April 9, 2019 – Newark, DE. Rigaku Corporation is pleased to announce that the new University of Delaware CT Scanner Facility, based at the Patrick T. Harker

X-Ray Computed Tomography for Materials & Life Sciences 8: Metrology Applications

Basics of metrology analysis and a number of X-ray CT application examples will be discussed. Examples include size and shape measurements of metal and plastic parts, tolerancing evaluation, comparison of nominal (CAD) and actual (CT) or a golden standard and a test subject. We will also introduce available resources to learn more about X-ray CT metrology.
Date/time
Presenter
Aya Takase

X-ray Computed Tomography for Materials and Life Science 7: Life Science Applications

A 3D look at the structures of a reptile, insects, and a mouse, including their stained organs. In the newest episode of the webinar series “X-ray Computed tomography for Materials & Life Science,” we will discuss how to deal with unique challenges in life science sample preparation and introduce some quantitative analyses.
Date/time
Presenter
Angela Criswell

X-ray Computed Tomography for Materials and Life Science 6: Geology Applications

A number of X-ray CT application examples of geological samples will be discussed. Examples include the analysis of cracks, pores, inclusions, and phase quantification of rocks and drill cores. We will introduce available resources for pore network analysis that can be applied to rock CT scans.
Date/time
Presenter
Aya Takase
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