  The proliferation of microscopy methods for live-cell imaging offers many new
possibilities for users but can also be challenging to navigate. We focus here
on computational methods that promise to boost live-cell fluorescence
microscopy, where intra-cellular dynamics and cell viability constrain
measurements considerably. Considering the tradeoffs between signal-to-noise
ratio (SNR), spatial resolution, temporal resolution, and multi-color and
multi-channel capacity, we review computational methods that can be layered on
top of commonly used existing microscopies, as well as hybrid methods that
integrate computation and microscope hardware.
