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Updated: Sep 15, 2025

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor
Published on: May 7, 2021
Framework for processing operando neutron radiography of energy devices
Jongmin Lee1, Eric Ricardo Carreon Ruiz2, Anders Kaestner2
1PSI Center for Neutron and Muon Sciences, Paul Scherrer Institute, Villigen PSI, 5232, Switzerland. jongmin.lee@psi.ch.
Abstract:
Neutron radiography is a powerful diagnostic technique for operando studies of electrochemical devices, such as fuel cells, batteries, and electrolyzers. However, processing time-series neutron images is challenging due to high spatial/temporal resolution requirements, limited neutron flux, complex sample geometry, and low signal-to-noise ratios. Existing image processing platforms are not adequate to mitigate these issues, causing bottlenecks in data analysis and interpretation. In this work, we present our Python-based framework: neutron radiography of electrochemical devices (NeuRED). This framework integrates a robust set of image processing functions within a transparent, reproducible, and user-friendly workflow. The advantages and unique features of the framework are outlined, and demonstrations are provided for proton exchange membrane fuel cells, Li-ion batteries, and gas-liquid systems. NeuRED is a unique open-access software tool for the electrochemistry community that will contribute to the advancements of operando imaging applications in energy research.
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