@article{HeilSchreiberGoetzetal.2018,
  author    = {Heil, Hannah S. and Schreiber, Benjamin and G{\"o}tz, Ralph and Emmerling, Monika and Dabauvalle, Marie-Christine and Krohne, Georg and H{\"o}fling, Sven and Kamp, Martin and Sauer, Markus and Heinze, Katrin G.},
  title     = {Sharpening emitter localization in front of a tuned mirror},
  series = {Light: Science \& Applications},
  volume    = {7},
  journal   = {Light: Science \& Applications},
  doi       = {10.1038/s41377-018-0104-z},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-228080},
  year      = {2018},
  abstract  = {Single-molecule localization microscopy (SMLM) aims for maximized precision and a high signal-to-noise ratio1. Both features can be provided by placing the emitter in front of a metal-dielectric nanocoating that acts as a tuned mirror2,3,4. Here, we demonstrate that a higher photon yield at a lower background on biocompatible metal-dielectric nanocoatings substantially improves SMLM performance and increases the localization precision by up to a factor of two. The resolution improvement relies solely on easy-to-fabricate nanocoatings on standard glass coverslips and is spectrally and spatially tunable by the layer design and wavelength, as experimentally demonstrated for dual-color SMLM in cells.},
  language  = {en}
}
@article{WolterEndesfelderLindeetal.2011,
  author    = {Wolter, Steve and Endesfelder, Ulrike and Linde, Sebastian van de and Heilemann, Mike and Sauer, Markus},
  title     = {Measuring localization performance of super-resolution algorithms on very active samples},
  series = {Optics Express},
  journal   = {Optics Express},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-85936},
  year      = {2011},
  abstract  = {Super-resolution fluorescence imaging based on inglemolecule localization relies critically on the availability of efficient processing algorithms to distinguish, identify, and localize emissions of single fluorophores. In multiple current applications, such as threedimensional, time-resolved or cluster imaging, high densities of fluorophore emissions are common. Here, we provide an analytic tool to test the performance and quality of localization microscopy algorithms and demonstrate that common algorithms encounter difficulties for samples with high fluorophore density. We demonstrate that, for typical single-molecule localization microscopy methods such as dSTORM and the commonly used rapidSTORM scheme, computational precision limits the acceptable density of concurrently active fluorophores to 0.6 per square micrometer and that the number of successfully localized fluorophores per frame is limited to 0.2 per square micrometer.},
  language  = {en}
}