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Updated: Aug 11, 2025
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Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
Published on: September 4, 2017
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Biodose Tools: an R shiny application for biological dosimetry
Alfredo Hernández1, David Endesfelder2, Jochen Einbeck3
1Department of Animal Biology, Plant Biology and Ecology (BABVE), Universitat Autònoma de Barcelona, Bellaterra, Spain.
International Journal of Radiation Biology
|February 2, 2023
Summary
Biodose Tools is a new open-source software for biological dosimetry, aiding in dose estimation after radiation exposure. This program standardizes calculations and offers a customizable platform for laboratories worldwide.
Area of Science:
- Radiation biology
- Dosimetry
- Bioinformatics
Background:
- Biological dosimetry estimates radiation dose using biomarkers.
- Previous tools relied on closed-source software, limiting accessibility and customization.
- The Running the European Network of Biological and retrospective Physical dosimetry (RENEB) initiative sought an open-source solution.
Purpose of the Study:
- To introduce Biodose Tools, a novel open-source software for biological dosimetry.
- To provide a user-friendly, consensus-driven platform for dose-effect fitting and estimation.
- To enhance harmonization and traceability in biological dosimetry studies.
Main Methods:
- Developed using the R programming language and the Shiny package for an online interface.
- Incorporates consensus-driven methods for dose-effect fitting (dicentric and translocation assays) and dose estimation.
- Supports assessment of heterogeneous exposures and includes accident-specific information.
Main Results:
- Biodose Tools (version 3.6.1) supports established international guidelines for dose estimation.
- The software facilitates calibration curve generation and detailed result reporting.
- Global use in exercises has led to iterative improvements and error identification.
Conclusions:
- Biodose Tools offers a harmonized, open-source solution for biological dosimetry.
- The customizable nature of the software allows for integration of new features and methods.
- It promotes standardization in uncertainty calculations and provides a collaborative platform for laboratories.
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