Recently, a research team resolved the contradiction between spatial resolution and imaging speed in optical microscopy. They achieved high-speed super-resolution by developing an effective technique termed temporal compressive super-resolution microscopy (TCSRM). TCSRM merges enhanced temporal compressive microscopy with deep-learning-based super-resolution image reconstruction. Enhanced temporal compressive microscopy improves the imaging speed by reconstructing multiple images from one compressed image, and the deep-learning-based image reconstruction achieves the super-resolution effect without reduction in imaging speed. Their iterative image reconstruction algorithm contains motion estimation, merging estimation, scene correction, and super-resolution processing to extract the super-resolution image sequence from compressed and reference measurements.