Development of an automated X-ray tomography measurement system with a temporal resolution of 10 ms

Read full text
Authors: Ryo Mashita, Liang Xiaouyu, Ryosuke Ueda, Yasumasa Bito, Kentaro Kajiwara, Yoshimasa Urushihara, Hiroyuki Kishimoto, Wataru Yashiro
Cited by: 1
References: 32

Abstract

Abstract Statistical methods, including machine learning, require large amounts of input data. When imaging data are used, minimizing measurement time becomes especially important. To address this, we developed an automated system that reduces the acquisition time of X-ray tomography with synchrotron radiation. Using this system, we successfully observed the fracture process of rubber materials at a temporal resolution of 10 ms. This work is expected to support the advancement of materials informatics, particularly for studying non-equilibrium states.

Fields of Study & Subjects

Machine Learning in Materials Science Advanced X-ray Imaging Techniques Advanced X-ray and CT Imaging

Publication details

Journal / source
Japanese Journal of Applied Physics
Publisher
IOP Publishing
Volume
65
Issue
2
Pages
020904–020904
Publication date
7 January 2026