  The plug-and-play priors (PnP) framework has been recently shown to achieve
state-of-the-art results in regularized image reconstruction by leveraging a
sophisticated denoiser within an iterative algorithm. In this paper, we propose
a new online PnP algorithm for Fourier ptychographic microscopy (FPM) based on
the fast iterative shrinkage/threshold algorithm (FISTA). Specifically, the
proposed algorithm uses only a subset of measurements, which makes it scalable
to a large set of measurements. We validate the algorithm by showing that it
can lead to significant performance gains on both simulated and experimental
data.
