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Method and Apparatus for enhancing sensitivity and resolution in a grating interferometer by machine learning
RPI ID:
2019-001-401 / 2019-001-601
Innovation Summary:
A machine‑learning‑enhanced reconstruction pipeline improves both contrast sensitivity and spatial resolution in grating‑based X‑ray and neutron interferometry by fusing complementary image channels through a trained convolutional neural network (CNN). Paired interferometer images—capturing...
Published: 3/10/2026
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Updated: 3/10/2026
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Inventor(s): Ge Wang, Lee Seung Wook, Seho Lee
Keywords(s): convolutional neural network, Grating interferometer, High-sensitive phase contrast image, Image processing, machine-learning
Category(s): Biotechnology and the Life Sciences
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