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Splitting Based Methods for Structured Illumination Microscopy

E. Soubies

OSA Imaging and Applied Optics Congress on Mathematics in Imaging (MI'18), Orlando FL, USA, June 25-28, 2018.

Structured Illumination Microscopy (SIM) provides a good trade-off between spatial and temporal resolutions. This makes SIM a method of choice for imaging biological processes. Here, we present a formulation of the SIM inverse problem that allows for the use of proximity operators which admit closed form expressions. It reduces the computational cost of the associated optimization algorithms.

AUTHOR="Soubies, E.",
TITLE="Splitting Based Methods for Structured Illumination Microscopy",
BOOKTITLE="{OSA} Imaging and Applied Optics Congress on Mathematics in
        Imaging ({MI'18})",
address="Orlando FL, USA",
month="June 25-28,",

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