ArticleScientific reports2025
Framework for processing operando neutron radiography of energy devices.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Time-of-flight neutron radiography for differentiating ice and water during phase transitions in natural porous media.Scientific reports · 2026Article
- Article
- One-pot neutron imaging of liquid-gas system: a parametric method study.Journal of radioanalytical and nuclear chemistry · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
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.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.