Stochastic optical reconstruction microscopy (STORM) is a promising method for the visualization of ultra-fine mitochondrial structures. However, this approach is limited to monitoring dynamic intracellular events owing to its low temporal resolution. We developed a new strategy to capture mitochondrial dynamics using a compressed sensing STORM algorithm following raw data pre-treatments by a noise-corrected principal component analysis and K-factor image factorization. Using STORM microscopy with a vicinal-dithiol-proteins targeting probe, visualizing mitochondrial dynamics was attainable with spatial and temporal resolutions of 45 nm and 0.8 s, notably, dynamic mitochondrial tubulation retraction of ∼746 nm in 1.2 s was monitored. The labeled conjugate was observed as clusters (radii, ∼90 nm) distributed on the outer mitochondrial membranes, not yet reported as far as we know. This strategy is promising for the quantitative analysis of intracellular behaviors below the optical diffraction limit.

随机光学重建显微镜（STORM）是一种有希望的超细线粒体结构可视化方法。但是，由于时间分辨率低，该方法仅限于监测动态细胞内事件。在原始数据经过噪声校正主成分分析和K因子图像分解处理之后，我们采用压缩传感STORM算法开发了一种捕获线粒体动力学的新策略。将STORM显微镜与邻近的二硫醇蛋白靶向探针一起使用，可以以45 nm和0.8 s的时空分辨率实现线粒体动力学的可视化，尤其是在1.2 s内监测到746 nm的动态线粒体导管收缩。标记的结合物以簇状（半径，〜90 nm）分布在线粒体外膜上，据我们所知尚未报道。该策略有望用于定量分析低于光学衍射极限的细胞内行为。