title: Real-time analysis and visualization for single-molecule based super-resolution microscopy.
abstract: Accurate multidimensional localization of isolated fluorescent emitters is a time consuming process in single-molecule based super-resolution microscopy. We demonstrate a functional method for real-time reconstruction with automatic feedback control, without compromising the localization accuracy. Compatible with high frame rates of EM-CCD cameras, it relies on a wavelet segmentation algorithm, together with a mix of CPU/GPU implementation. A combination with Gaussian fitting allows direct access to 3D localization. Automatic feedback control ensures optimal molecule density throughout the acquisition process. With this method, we significantly improve the efficiency and feasibility of localization-based super-resolution microscopy.
authors: Interdisciplinary Institute for Neuroscience, University of Bordeaux, Bordeaux, France.
authors: Adel
authors: A
authors: Kechkar
authors: Deepak
authors: D
authors: Nair
authors: Mike
authors: M
authors: Heilemann
authors: Daniel
authors: D
authors: Choquet
authors: Jean-Baptiste
authors: JB
authors: Sibarita
mesh_terms: D000465:Algorithms; D000818:Animals; D019556:COS Cells; D002522:Chlorocebus aethiops; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation / Q000379:methods; D008856:Microscopy, Fluorescence / Q000295:instrumentation / Q000379:methods*; D012984:Software
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