Framework for processing operando neutron radiography of energy devices.

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 de

SUBMITTER: Lee J 

PROVIDER: S-EPMC12267630 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature