PIDE
PIDE compiles over 1100 pairs of dose-response curves from in‑vitro cell survival experiments following photon and ion irradiation to support comparative analyses of radiation effects and radiobiological modeling.
Key Features:
- Extensive data collection: Raw dose-response data from in‑vitro cell survival experiments after ion beams and photon reference radiation are compiled, comprising over 1100 pairs of dose-response curves.
- Linear Quadratic (LQ) model parameters: Derived LQ model parameters are provided and consistently calculated across experiments.
- Dose-response analysis across LET: Data permit separate and comparative analysis of ion and photon effects, including assessment of low and high linear energy transfer (LET) responses.
- Variability assessment: The dataset supports analysis of variability among experimental results to derive insights into cellular radiation responses.
Scientific Applications:
- Comparative radiation response analysis: Compare cell survival rates following photon versus ion irradiation using paired dose-response curves.
- LET-specific investigations: Investigate biological effects and differential responses of low versus high LET radiation.
- Model development and validation: Develop and validate predictive radiobiological models using raw dose-response data and LQ parameters.
- Mechanistic radiobiology studies: Explore fundamental cellular mechanisms of radiation damage across multiple experiments and radiation types.
Methodology:
Compilation of raw dose-response curves and uniform calculation of Linear Quadratic (LQ) model parameters across the assembled experiments.
Topics
Details
- Cost:
- Free of charge (with restrictions)
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 10/4/2021
- Last Updated:
- 10/4/2021
Operations
Publications
Friedrich T, Pfuhl T, Scholz M. Update of the particle irradiation data ensemble (PIDE) for cell survival. Journal of Radiation Research. 2021;62(4):645-655. doi:10.1093/jrr/rrab034. PMID:33912970. PMCID:PMC8273790.
DOI: 10.1093/JRR/RRAB034
PMID: 33912970