The variety of available mitochondrial quantification tools makes it difficult to select the most reliable and accurate quantification tool. Here, we performed elaborate analyses on five open source ImageJ tools. Excessive clustering of mitochondrial structures was observed in four tools, caused by the global thresholding applied by these tools. The Mitochondrial Analyzer, which uses adaptive thresholding, outperformed the other examined tools, with accurate structural segregation and identification. Additionally, we showed that the Mitochondrial Analyzer successfully identifies mitochondrial morphology differences. Based on the observed performance, we consider the Mitochondrial Analyzer the best open source tool for mitochondrial network morphology quantification.

可用的线粒体量化工具种类繁多，因此很难选择最可靠和最准确的量化工具。在这里，我们对五个开源 ImageJ 工具进行了详尽的分析。在四种工具中观察到线粒体结构的过度聚集，这是由这些工具应用的全局阈值引起的。使用自适应阈值的线粒体分析仪在结构分离和识别方面优于其他检查工具。此外，我们发现线粒体分析仪成功识别线粒体形态差异。基于观察到的性能，我们认为线粒体分析仪是线粒体网络形态量化的最佳开源工具。