  The diffraction of light imposes a fundamental limit on resolution of light
microscopes. This limit can be circumvented by creating and exploiting
independent behaviors of the sample at length scales below the diffraction
limit. In super-resolution microscopy, the independence arises from individual
fluorescent labels switching between dark and fluorescence states, which allows
the pinpointing of fluorophores either directly during the experiment or post
experimentally using a sequence of acquired sparse image frames. Finally, the
resulting list of fluorophore coordinates is utilized to produce high
resolution images or to gain quantitative insight into the underlying
biological structures. Therefore, image processing and post-processing are
essential stages of super-resolution microscopy techniques. Here, we review the
latest progresses on super-resolution microscopy data processing and
post-processing.
