SU-E-T-253: Open-Source Automatic Software for Quantifying Biological Assays of Radiation Effects

摘要: Purpose: Clonogenic cell survival is a common assay for quantifying the effect of drugs and radiation. Manual counting surviving colonies can take 30–90seconds per plate, major limitation large studies. Currently available automatic tools are not easily modified radiation oncology research. Our goal to provide an open-source toolkit precise, accurate fast analysis biological assays in oncology. Methods: As example analysis, we used HeLa cells incubated with gadolinium nanoparticles prior irradiation. After treatment, grown 14days allow colony formation. To analyze growth, capture images each dish archiving computer-based analysis. A FujifilmX20 camera placed at top box setup, 20cm above sample, which backlit by LED lamp bottom box. We use Gaussian filter (width=1.3mm) color threshold (19–255). The minimum size be counted 1mm. For this example, 20 dishes range were analyzed. Each was 3 times manually different users then compared our counter. Results: Automatic takes average 7seconds, enabling process accelerated 4–12 times. precision counter 1.7%. Student t-test demonstrated non-significant differences between two methods (p=0.64). ICC reliability method ICC>0.999 (automatic) ICC=0.95 (manual). Conclusion: developed accuracy, effort savings clonogenic quantification. This currently being laboratories routine experimental will made freely on departmental website.