Open-source image reconstruction of super-resolution structured illumination microscopy data in ImageJ

Marcel Müller (), Viola Mönkemöller, Simon Hennig, Wolfgang Hübner and Thomas Huser ()
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Marcel Müller: Biomolecular Photonics, University of Bielefeld
Viola Mönkemöller: Biomolecular Photonics, University of Bielefeld
Simon Hennig: Biomolecular Photonics, University of Bielefeld
Wolfgang Hübner: Biomolecular Photonics, University of Bielefeld
Thomas Huser: Biomolecular Photonics, University of Bielefeld

Nature Communications, 2016, vol. 7, issue 1, 1-6

Abstract: Abstract Super-resolved structured illumination microscopy (SR-SIM) is an important tool for fluorescence microscopy. SR-SIM microscopes perform multiple image acquisitions with varying illumination patterns, and reconstruct them to a super-resolved image. In its most frequent, linear implementation, SR-SIM doubles the spatial resolution. The reconstruction is performed numerically on the acquired wide-field image data, and thus relies on a software implementation of specific SR-SIM image reconstruction algorithms. We present fairSIM, an easy-to-use plugin that provides SR-SIM reconstructions for a wide range of SR-SIM platforms directly within ImageJ. For research groups developing their own implementations of super-resolution structured illumination microscopy, fairSIM takes away the hurdle of generating yet another implementation of the reconstruction algorithm. For users of commercial microscopes, it offers an additional, in-depth analysis option for their data independent of specific operating systems. As a modular, open-source solution, fairSIM can easily be adapted, automated and extended as the field of SR-SIM progresses.

Date: 2016
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DOI: 10.1038/ncomms10980

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