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.
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AUTHOR="Soubies, E.",
TITLE="Splitting Based Methods for Structured Illumination Microscopy",
BOOKTITLE="{OSA} Imaging and Applied Optics Congress on Mathematics in
Imaging ({MI'18})",
YEAR="2018",
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address="Orlando FL, USA",
month="June 25-28,",
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