Computational Super-Sectioning for Single-Slice Structured-Illumination Microscopy
Emmanuel Soubies, EPFL STI LIB

Meeting • 19 June 2018

Abstract
While structured-illumination microscopy (SIM) is inherently a 3D technique, many biological questions can be addressed from the acquisition of a single focal plane with high lateral resolution. Unfortunately, the single-slice reconstruction of thick samples suffers from defocusing. This work describes an improved reconstruction method for 2D SIM measurements while relying on a 3D model. It enables the estimation of the out-of-focus signal of additional planes and improves the quality of the reconstruction. Given a single 2D acquisition, we are able to produce a reconstructed slice with a quality comparable to what would have been obtained, had a full 3D stack been acquired and reconstructed. The proposed algorithm relies on a specific formulation of the optimization problem together with the derivation of computationally efficient proximal operators. These developments allow us to deploy of an efficient inner-loop-free alternating-direction method of multipliers.