title: Fast and efficient molecule detection in localization-based super-resolution microscopy by parallel adaptive histogram equalization.
abstract: In localization-based super-resolution microscopy, individual fluorescent markers are stochastically photoactivated and subsequently localized within a series of camera frames, yielding a final image with a resolution far beyond the diffraction limit. Yet, before localization can be performed, the subregions within the frames where the individual molecules are present have to be identified-oftentimes in the presence of high background. In this work, we address the importance of reliable molecule identification for the quality of the final reconstructed super-resolution image. We present a fast and robust algorithm (a-livePALM) that vastly improves the molecule detection efficiency while minimizing false assignments that can lead to image artifacts.
authors: Institute of Applied Physics and Center for Functional Nanostructures (CFN), Karlsruhe Institute of Technology (KIT), Wolfgang-Gaede-Strasse 1, 76131 Karlsruhe, Germany.
authors: Yiming
authors: Y
authors: Li
authors: Yuji
authors: Y
authors: Ishitsuka
authors: Per Niklas
authors: PN
authors: Hedde
authors: G Ulrich
authors: GU
authors: Nienhaus