title: Optimal 2D-SIM reconstruction by two filtering steps with Richardson-Lucy deconvolution.
abstract: Structured illumination microscopy relies on reconstruction algorithms to yield super-resolution images. Artifacts can arise in the reconstruction and affect the image quality. Current reconstruction methods involve a parametrized apodization function and a Wiener filter. Empirically tuning the parameters in these functions can minimize artifacts, but such an approach is subjective and produces volatile results. We present a robust and objective method that yields optimal results by two straightforward filtering steps with Richardson-Lucy-based deconvolutions. We provide a resource to identify artifacts in 2D-SIM images by analyzing two main reasons for artifacts, out-of-focus background and a fluctuating reconstruction spectrum. We show how the filtering steps improve images of test specimens, microtubules, yeast and mammalian cells.
authors.affiliation: Buchmann Institute for Molecular Life Sciences (BMLS) Goethe Universität Frankfurt am Main Max-von-Laue-Strasse 15, 60438 Frankfurt am Main, Germany.
authors.forename: Victor
authors.initials: V
authors.lastname: Perez
authors.affiliation: Buchmann Institute for Molecular Life Sciences (BMLS) Goethe Universität Frankfurt am Main Max-von-Laue-Strasse 15, 60438 Frankfurt am Main, Germany.
authors.forename: Bo-Jui
authors.initials: BJ
authors.lastname: Chang
authors.affiliation: Buchmann Institute for Molecular Life Sciences (BMLS) Goethe Universität Frankfurt am Main Max-von-Laue-Strasse 15, 60438 Frankfurt am Main, Germany.
authors.forename: Ernst Hans Karl
authors.initials: EH
authors.lastname: Stelzer