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Biomed Opt Express. 2014 Feb 18;5(3):778-87. doi: 10.1364/BOE.5.000778. eCollection 2014.

TestSTORM: Simulator for optimizing sample labeling and image acquisition in localization based super-resolution microscopy.

Author information

1
Department of Optics and Quantum Electronics, University of Szeged, Szeged, Dóm tér 9, 6720 Hungary.
2
Department of Chemical Engineering and Biotechnology, University of Cambridge, New Museums Site, Pembroke Street, Cambridge CB2 3RA, UK.
3
Analytical Science Division, National Physical Laboratory, Teddington, Middlesex, TW11 0LW, UK.
4
Department of Optics and Quantum Electronics, University of Szeged, Szeged, Dóm tér 9, 6720 Hungary ; MTA-SZTE Research Group on Photoacoustic Spectroscopy, Szeged, Dóm tér 9, 6720 Hungary.

Abstract

Localization-based super-resolution microscopy image quality depends on several factors such as dye choice and labeling strategy, microscope quality and user-defined parameters such as frame rate and number as well as the image processing algorithm. Experimental optimization of these parameters can be time-consuming and expensive so we present TestSTORM, a simulator that can be used to optimize these steps. TestSTORM users can select from among four different structures with specific patterns, dye and acquisition parameters. Example results are shown and the results of the vesicle pattern are compared with experimental data. Moreover, image stacks can be generated for further evaluation using localization algorithms, offering a tool for further software developments.

KEYWORDS:

(100.6640) Superresolution; (180.2520) Fluorescence microscopy

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