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arXiv · 2511.07497

Biodose Tools updates for criticality accidents and interlaboratory comparisons

Anna Frances-Abellan·David Endesfelder·Alfredo Hernandez·Gemma Armengol·Joan Francesc Barquinero
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Abstract

Purpose: Since its initial release, the aim of Biodose Tools was to offer an easy-to-use platform to perform the mathematical calculations needed in biological dosimetry. This update 3.7.1, mainly focuses on new features related to large-scale emergency responses, like criticality accidents dose estimation and laboratory networks. Material and Methods: Biodose Tools has been developed using the R programming language. The current version (3.7.1) uses the same external dependencies as version 3.6.1 (released November 2022) while integrating three new external packages to support the new functionalities. Results: Version 3.7.1 introduces different new modules: (a) a characteristic limits module that calculates decision thresholds and detection limits following ISO19238:2023 standards, and offers statistical tests to compare rates between suspected exposure cases and control data; (b) an enhanced dose estimation module which supports multiple dose assessments for dicentric and translocation assays for various exposure scenarios (acute, protracted, and highly protracted) as well as whole and partial-body exposures; (c) a criticality accidents module for multiple dose estimations using dicentrics in mixed gamma-neutron exposure scenarios (e.g., nuclear detonations); and (d) an Interlaboratory comparison module that automates the evaluation and comparison of dose estimates across laboratories. Conclusions: Biodose Tools (biodosetools.reneb.bfs.de) continues to evolve in response to the dynamic needs of the biological dosimetry community, contributing to the preparedness and consistency in emergency response and routine applications.

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Anna Frances-Abellan, David Endesfelder, Alfredo Hernandez, Gemma Armengol, Joan Francesc Barquinero. 2025-11-10. Biodose Tools updates for criticality accidents and interlaboratory comparisons. https://arxiv.org/abs/2511.07497

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