We present a method for high-density super-resolution microscopy which integrates a sparsity-promoting penalty and a blur kernel correction into a nonsmooth, non-convex, nonseparable variational formulation. An efficient majorization minimization strategy is applied to reduce the challenging optimization problem to the solution of a series of easier convex problems.
A Non-convex Nonseparable Approach to Single-Molecule Localization Microscopy
Lazzaro D.;Morigi S.
;Sgallari F.
2019
Abstract
We present a method for high-density super-resolution microscopy which integrates a sparsity-promoting penalty and a blur kernel correction into a nonsmooth, non-convex, nonseparable variational formulation. An efficient majorization minimization strategy is applied to reduce the challenging optimization problem to the solution of a series of easier convex problems.File in questo prodotto:
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