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Characterization and Calibration of the iQID Digital Autoradiography System for Direct Quantitative Imaging of Beta-Emitters in Tissue Samples

Kwon, O.; Jollota, S. P.; Adeniyi, A. O.; Jeffery, J. J.; Schulz, J. B.; Wehner, L. E.; Bio Idrissou, M.; Aluicio-Sarduy, E.; Miller, B. W.; Bergeron, D. E.; Hernandez, R. T.; DeWerd, L. A.; Bednarz, B. P.

2026-01-28 cancer biology
10.64898/2026.01.27.701920 bioRxiv
Show abstract

Autoradiography provides microscale mapping of radionuclide distributions, a promising approach to complement nuclear medicine imaging for small-scale radiopharmaceutical therapy (RPT) research. However, quantitative protocols for {beta}-emitters remain under-established compared to those for -emitters. In this work, the ionizing-radiation quantum imaging detector (iQID) digital autoradiography system was characterized and calibrated specifically for the theranostic {beta}-emitter 177Lu. Spatial resolution, detection efficiency, background and minimum detectable activity, and depth dependence were characterized and compared to Geant4 Monte Carlo simulations. A methodology for converting count rates to activity was established, yielding a high linear response (range from 0 to 300 Bq). To validate the system for realistic measurement scenarios, cross-modality benchmarking was performed using a custom stacked multi-layer virtual water phantom to compare iQID performance with preclinical {micro}SPECT/CT. The iQID system demonstrated an effective spatial resolution of [~]43 {micro}m for 177Lu and achieved total activity estimates of (0.194 {+/-} 0.022) MBq, agreeing within 2% with the dispensed reference (0.197 {+/-} 0.015) MBq. Crucially, iQID exhibited superior quantitative accuracy for small-scale features (0.8 mm to 2.5 mm diameters), resolving activity concentrations in regions where {micro}SPECT/CT performance was severely limited by partial volume effects. This study establishes a validated framework for quantitative 177Lu digital autoradiography, laying the groundwork for accurate activity estimation in ex vivo tissue samples.

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