论文标题
IGSR检测中的假阴性概率：贝叶斯方法
False negative probability in iGSR detection: a Bayesian approach
论文作者
论文摘要
本文讨论了通过扫描电子显微镜在发现步骤中使用能量色散X射线光谱仪（SEM/EDS）的扫描电子显微镜的检测。我们计算了所有特征无机枪声残基颗粒（IGSR）的概率未被发现，并且它们对图像像素分辨率设置的依赖性。我们构建并验证了将粒径与设备寄存器联系起来的IGSR粒子检测模型，并将其应用于法医科学实验室分析的1,174个样品。我们的结果表明，缺少所有特征性IGSR颗粒的概率低于5％的像素尺寸低于$0.32μm^{2} $。这些值表明，像素大小与实验室案例通常使用的面积一样大，$0.16μm^{2} $，对于对样品的初始扫描有效，因为它可以良好地检测到特征性粒子的速度，这可能会指数级减少实验室工作负载。
This article discusses the detection of inorganic gunshot residue (iGSR) particles through scanning electron microscopy with energy dispersive X-ray spectrometer (SEM/EDS) in the discovery step. We calculated the probability that all characteristic inorganic gunshot residue particles (iGSR) go undetected and their dependence on the image pixel resolution setup. We built and validated a iGSR particle detection model that relates particle size with equipment registers, and we applied it to 1,174 samples analyzed by a forensic science laboratory. Our results indicate that the probability of missing all characteristic iGSR particles is below 5% for pixel sizes below $0.32 μm^{2}$. These values indicate that pixel sizes as great as the double in area that is commonly used in laboratory casework, $0.16 μm^{2}$, are effective for an initial scanning of a sample as it yields good rates of detection of characteristic particles, which might exponentially reduce laboratory workload.
