发表机构
Morgan State University（摩根州立大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究评估三维线粒体形态测量的可靠性，发现表示偏差导致体积高估，校正可减少误差，但不确定性迁移不完整，且分辨率变化显著影响形态指标。
AI 中文摘要
定量成像流程可以对同一对象产生精确但系统不同的测量结果。我们对三维线粒体形态测量进行了实证可靠性评估，该评估将表示偏差、受控处理干预、校正迁移与分辨率敏感性联系起来。利用来自光学显微镜三维线粒体形状库的2,720个发育对象，我们发现尽管组内相关系数为0.994，基于占据体积的平均值仍超过参考网格体积3.665%。边界分析识别出0.00304个归一化单位的向外标签位移。在受控的标签流程重新实现中，去除深度偏移可将所有55个分析对象的体积误差平均降低1.57个百分点，约占平均重现膨胀的45%；其余部分的来源未被隔离。使用基于占据特征的冻结回归，将来自同一资源的2,728个先前未使用对象的中位绝对百分比误差从3.481%降至0.664%。然而，其校准误差界限仅覆盖总体92.1%，在低占据亚组中为49.2%，表明准确性和不确定性迁移必须分别评估。在来自MitoEM资源的550个大鼠皮层对象中，将平面内间距从8纳米粗化至24纳米，使中位表面积改变-10.60%，球形度改变+11.76%，尽管秩相关系数为0.994。这些结果为区分处理引起的描述符变化与候选生物学差异提供了定量检查，而未建立生物学不变性或跨来源校正迁移。
英文摘要
Quantitative imaging pipelines can produce precise but systematically different measurements of the same object. We present an empirical reliability assessment of three-dimensional mitochondrial morphometry that connects representation bias, a controlled processing intervention, correction transfer, and resolution sensitivity. Using 2,720 development objects from the 3D Mitochondria Shape Library for Optical Microscopy, we find that occupancy-derived volumes exceed reference mesh volumes by 3.665% on average despite an intraclass correlation coefficient of 0.994. Boundary analysis identifies an outward label displacement of 0.00304 normalized units. In a controlled label-pipeline reimplementation, removing the depth offset reduces volume error in all 55 analyzed objects by a mean of 1.57 percentage points, approximately 45% of mean reproduced inflation; the source of the remainder is not isolated. A frozen regression using occupancy-derived features reduces median absolute percentage error from 3.481% to 0.664% in 2,728 previously unused objects from the same resource. However, its calibrated error bound covers only 92.1% overall and 49.2% in a low-occupancy subgroup, demonstrating that accuracy and uncertainty transfer must be evaluated separately. In 550 rat-cortex objects from the MitoEM resource, coarsening in-plane spacing from 8 to 24 nanometers changes median surface area by minus 10.60% and sphericity by plus 11.76%, despite a rank correlation of 0.994. These results provide quantitative checks for distinguishing processing-induced descriptor changes from candidate biological differences, without establishing biological invariance or cross-source correction transfer.
